{"id":17870,"date":"2026-08-08T08:48:48","date_gmt":"2026-08-08T12:48:48","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=17870"},"modified":"2026-08-26T23:41:35","modified_gmt":"2026-08-27T03:41:35","slug":"muse-spark-1-2-review","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/pt-br\/hub\/muse-spark-1-2-review","title":{"rendered":"An\u00e1lise do Muse Spark 1.2: Testes de desempenho, API, pre\u00e7os e testes de programa\u00e7\u00e3o"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>O Muse Spark 1.2 combina um custo por token excepcionalmente baixo com uma janela de contexto de 1 milh\u00e3o de tokens e foi aprovado em todas as tr\u00eas tarefas de codifica\u00e7\u00e3o do modelo b\u00e1sico em nosso conjunto de testes de API na primeira tentativa.<\/strong> A Meta lan\u00e7ou o modelo em <a href=\"https:\/\/research.meta.ai\/blog\/introducing-muse-code-and-muse-spark-1-2\">5 de agosto de 2026<\/a>, com uma janela de contexto de 1 milh\u00e3o de tokens, dois n\u00edveis de pre\u00e7os para a API e um agente de terminal independente chamado Muse Code. Os resultados dos testes de desempenho da Meta s\u00e3o promissores; os rankings p\u00fablicos independentes de programa\u00e7\u00e3o ainda n\u00e3o verificaram as mesmas combina\u00e7\u00f5es de modelo e agente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Esta an\u00e1lise distingue o modelo do agente, as pontua\u00e7\u00f5es oficiais das evid\u00eancias independentes e os pre\u00e7os padr\u00e3o do equil\u00edbrio entre uso de dados e benef\u00edcios do n\u00edvel Contributor. Em nossos testes, o modelo concluiu uma corre\u00e7\u00e3o de idempot\u00eancia em Python, uma refatora\u00e7\u00e3o em TypeScript que preservou a compatibilidade e um recurso JSONL em todo o reposit\u00f3rio, sem a necessidade de novas tentativas. A execu\u00e7\u00e3o do agente Muse Code n\u00e3o foi testada, assim como a confiabilidade das chamadas \u00e0s ferramentas. Se voc\u00ea estiver comparando primeiro o campo mais amplo, nosso guia para o <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-model-for-coding\/\">melhores modelos de IA para codifica\u00e7\u00e3o<\/a> apresenta o contexto competitivo mais amplo.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"538\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2-1024x538.png\" alt=\"Fa\u00edsca da inspira\u00e7\u00e3o no GlobalGPT\" class=\"wp-image-17878\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2-1024x538.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2-300x158.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2-768x404.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2-18x9.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/08\/image-2.png 1457w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-luminous-vivid-amber-background-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/muse-spark-1-2?inviter=hub_muse_spark_1_2&amp;login=1\"><strong>EXPERIMENTE o Muse Spark 1.2 no GlobalGPT!<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<style>\n.muse-visual{box-sizing:border-box;margin:28px 0;color:#21372c;font-family:Inter,ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif}.muse-visual *{box-sizing:border-box}.muse-visual a{color:#214b38;text-decoration-thickness:1px;text-underline-offset:3px}.muse-visual .muse-kicker{margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;text-transform:uppercase}.muse-visual .muse-small{font-size:13px;line-height:1.55;color:#5e6b63}.muse-visual .muse-grid{display:grid;gap:12px}.muse-visual .muse-card{min-width:0;border:1px solid rgba(52,76,63,.14);border-radius:18px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.06)}.muse-visual .muse-card h3,.muse-visual .muse-card h4{margin:0 0 7px;color:inherit}.muse-visual .muse-card p{margin:0}.muse-visual .muse-chip{display:inline-flex;align-items:center;margin:3px 4px 3px 0;padding:5px 8px;border-radius:999px;background:#e0ebe2;font-size:11px;font-weight:750}.muse-visual .muse-number{display:block;margin:4px 0;font-family:Georgia,\"Times New Roman\",serif;font-size:30px;line-height:1}.muse-visual .muse-label{display:block;font-size:10px;font-weight:800;letter-spacing:.08em;text-transform:uppercase}.muse-visual .muse-table-scroll{overflow-x:auto;-webkit-overflow-scrolling:touch}.muse-visual table{width:100%;border-collapse:collapse;font-size:13px}.muse-visual th,.muse-visual td{padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top}.muse-visual th{font-size:10px;letter-spacing:.06em;text-transform:uppercase}.muse-bar-row{display:grid;grid-template-columns:minmax(150px,1.45fr) minmax(120px,2fr) 58px;gap:10px;align-items:center;margin:9px 0}.muse-bar-row span{font-size:12px}.muse-track{height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc}.muse-fill{display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69}.muse-bar-row strong{text-align:right;font-size:12px}.muse-source-badge{display:inline-block;margin-top:10px;padding:6px 9px;border-radius:8px;background:#f4d6c8;color:#754b3b;font-size:11px;font-weight:800}.muse-source-badge.public{background:#dce9e1;color:#315b46}.muse-status{display:inline-flex;align-items:center;gap:7px;padding:7px 10px;border-radius:9px;background:#f0d5a3;color:#81581b;font-size:11px;font-weight:850;letter-spacing:.05em;text-transform:uppercase}.muse-status:before{content:\"\";width:8px;height:8px;border-radius:50%;background:#c8842b}.muse-route{display:grid;grid-template-columns:1fr auto 1fr auto 1fr;gap:8px;align-items:center}.muse-route .muse-node{padding:13px 8px;border:1px solid #bfd0c3;border-radius:12px;background:#edf3ee;text-align:center;font-weight:800}.muse-route .muse-arrow{color:#b76d52;font-weight:900}.muse-callout{padding:22px;border-left:5px solid #d57d5d;border-radius:0 18px 18px 0;background:#f9eee7}.muse-callout p{margin:0}.muse-dark{padding:24px;border-radius:20px;background:#294838;color:#f7f4ec}.muse-dark .muse-small{color:#d8e5dd}.muse-dark .muse-chip{background:#426252;color:#fff}.muse-gold{background:#f5ead0}.muse-lavender{background:#ece7f0}.muse-sage{background:#dce9df}.muse-rose{background:#f3ddd4}@media(max-width:760px){.muse-toc ol{grid-template-columns:1fr!important}.muse-bar-row{grid-template-columns:1fr 48px}.muse-bar-row .muse-track{grid-column:1\/-1;grid-row:2}.muse-route{grid-template-columns:1fr}.muse-route .muse-arrow{transform:rotate(90deg);text-align:center}.muse-visual table{min-width:640px}.muse-visual .muse-grid{grid-template-columns:1fr!important}}\n.muse-feature-map{container-type:inline-size}.muse-route{grid-template-columns:repeat(auto-fit,minmax(180px,1fr))}.muse-visual .muse-card{overflow-wrap:anywhere}.muse-visual code{max-width:100%;white-space:normal;overflow-wrap:anywhere}.muse-rose .muse-small{color:#3f4c45}.muse-card-dark .muse-small{color:#d8e5dd}.muse-status{background:#f6dfb2;color:#553507}@container (max-width:900px){.muse-feature-map>.muse-grid{grid-template-columns:repeat(auto-fit,minmax(240px,1fr))!important}}@container (max-width:520px){.muse-feature-map>.muse-grid{grid-template-columns:1fr!important}}@media(max-width:1050px){.muse-feature-map>.muse-grid{grid-template-columns:repeat(auto-fit,minmax(240px,1fr))!important}}@media(max-width:760px){.muse-feature-map>.muse-grid,.muse-route{grid-template-columns:1fr!important}}\n<\/style>\n<nav class=\"muse-visual muse-toc muse-dark\" aria-label=\"\u00cdndice da an\u00e1lise do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Revis\u00e3o com \u00eanfase nas evid\u00eancias<\/p>\n  <h2 style=\"margin:0 0 8px;color:#fff\">V\u00e1 direto para a resposta que voc\u00ea precisa<\/h2>\n  <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin:0 0 14px\">Benchmarks, pre\u00e7os, acesso \u00e0 API e a situa\u00e7\u00e3o real dos nossos testes de programa\u00e7\u00e3o.<\/p>\n  <ol style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(240px,1fr));gap:8px 24px;margin:0;padding-left:22px\">\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-quick-answer\">Resposta r\u00e1pida<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-at-a-glance\">Muse Spark 1.2 em resumo<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-vs-muse-code\">Muse Spark 1.2 x Muse Code<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-benchmarks\">Resultados e metodologia dos testes de desempenho<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-pricing\">Equil\u00edbrio entre pre\u00e7o e privacidade<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-api\">Acesso \u00e0 API e exemplo<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#what-muse-code-adds\">O que o Muse Code oferece<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#launch-and-community-signals\">Sinais de lan\u00e7amento e da comunidade<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-coding-tests\">Testes de programa\u00e7\u00e3o: 3\/3 aprovados<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#who-should-use-muse-spark-1-2\">Quem deve us\u00e1-lo?<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-verdict\">Veredicto<\/a><\/li>\n    <li><a style=\"color:#fff\" href=\"#muse-spark-1-2-faq\">PERGUNTAS FREQUENTES<\/a><\/li>\n  <\/ol>\n<\/nav>\n\n\n\n<h2 id=\"muse-spark-1-2-quick-answer\" class=\"wp-block-heading\">An\u00e1lise do Muse Spark 1.2: Resposta r\u00e1pida<\/h2>\n\n\n\n<aside class=\"muse-visual muse-callout\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border-left:6px solid #d57d5d;border-radius:0 20px 20px 0;background:#fff1e9;color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Avalia\u00e7\u00e3o r\u00e1pida do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#9b5b43\">Avalia\u00e7\u00e3o pr\u00e1tica<\/p>\n  <p style=\"font-family:Georgia,'Times New Roman',serif;font-size:22px;line-height:1.35\"><strong>A excelente rela\u00e7\u00e3o custo-benef\u00edcio da API, uma janela de contexto ampla e 3\/3 de aprova\u00e7\u00e3o nas tarefas de codifica\u00e7\u00e3o controladas fazem com que valha a pena avaliar o Muse Spark 1.2. A amostra ainda \u00e9 pequena demais para considerar o produto Muse Code, em geral, um sucesso comprovado.<\/strong><\/p>\n<\/aside>\n\n\n\n<figure class=\"muse-evidence muse-evidence-official\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #cbdad0;border-radius:20px;background:#fff;box-shadow:0 14px 35px rgba(39,58,48,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-research-launch.webp\" alt=\"Comunicado da Meta Research intitulado \u201cApresentando o Muse Code e o Muse Spark 1.2\u201d, datado de 5 de agosto de 2026\" loading=\"eager\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#506258;font-size:14px;line-height:1.55\"><strong>Lan\u00e7amento oficial.<\/strong> A Meta anunciou o Muse Code e o Muse Spark 1.2 em 5 de agosto de 2026. <a href=\"https:\/\/research.meta.ai\/blog\/introducing-muse-code-and-muse-spark-1-2\">Fonte: Meta Research<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A vers\u00e3o resumida:<\/strong> O Muse Spark 1.2 \u00e9 um modelo Meta voltado para programa\u00e7\u00e3o, com uma janela de 1 milh\u00e3o de tokens, acesso \u00e0 API compat\u00edvel com o SDK OpenAI e um n\u00edvel \u201cContributor\u201d que chama a aten\u00e7\u00e3o. Seu principal diferencial \u00e9 o custo: $0,10 de entrada e $0,20 de sa\u00edda por milh\u00e3o de tokens no modelo Contributor. Esse n\u00edvel pode ser usado para aprimorar os produtos da Meta, enquanto o modelo padr\u00e3o, mais caro, n\u00e3o \u00e9 utilizado para essa finalidade.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os dados de desempenho precisam ser interpretados com mais cautela. A Meta relata 82,91 TP40T no Terminal-Bench 2.1 para o Muse Spark 1.2 com o Muse Code e 59,31 TP40T no DeepSWE. Esses s\u00e3o resultados obtidos pela Meta. As tabelas p\u00fablicas do Terminal-Bench e do DeepSWE ainda n\u00e3o listavam o Muse Spark 1.2 quando verificadas em 26 de agosto de 2026.\u00a0<a href=\"https:\/\/artificialanalysis.ai\/models\/muse-spark-1-2\">An\u00e1lise Artificial<\/a>\u00a0oferece uma verifica\u00e7\u00e3o cruzada independente: seu \u00cdndice de Intelig\u00eancia permanece em 57, acima da mediana de 35 dos modelos compar\u00e1veis.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>O melhor motivo para experimentar agora:<\/strong> Pre\u00e7os acess\u00edveis para colaboradores, contexto abrangente e uma API que segue o padr\u00e3o familiar de cliente OpenAI.<\/li>\n\n\n\n<li><strong>O melhor motivo para manter a cautela:<\/strong> Tr\u00eas tarefas controladas com o modelo b\u00e1sico n\u00e3o comprovam a confiabilidade do agente Muse Code, a qualidade das chamadas \u00e0 ferramenta nem o desempenho em um grande reposit\u00f3rio de produ\u00e7\u00e3o.<\/li>\n\n\n\n<li><strong>Op\u00e7\u00e3o importante relacionada \u00e0 privacidade:<\/strong> Utilize o modelo padr\u00e3o para c\u00f3digos ou prompts que voc\u00ea n\u00e3o deseja que sejam usados para aprimorar os produtos do Meta.<\/li>\n<\/ul>\n\n\n\n<h2 id=\"muse-spark-1-2-at-a-glance\" class=\"wp-block-heading\">Muse Spark 1.2 em resumo<\/h2>\n\n\n\n<section class=\"muse-visual muse-specs muse-sage\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #bfd3c5;border-radius:22px;background:#dce9df;color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Especifica\u00e7\u00f5es do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Especifica\u00e7\u00f5es verificadas<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(145px,1fr))\">\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Desenvolvedor<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">Meta<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Lan\u00e7ado em 5 de agosto de 2026<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Contexto<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">1M<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">1 milh\u00e3o de tokens<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Foco principal<\/span><strong style=\"display:block;margin:5px 0;font-size:17px\">Programa\u00e7\u00e3o + ferramentas<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Trabalho com reposit\u00f3rios e depura\u00e7\u00e3o<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Status pr\u00e1tico<\/span><strong style=\"display:block;margin:5px 0;font-size:17px\">3\/3 tarefas conclu\u00eddas<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Uma tentativa por tarefa<\/span><\/div>\n  <\/div>\n  <div style=\"margin-top:12px\">\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">muse-spark-1.2<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">muse-spark-1.2-colaborador<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">C\u00f3digo Muse<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">API do Meta Modelo<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">OpenRouter<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Compat\u00edvel com o SDK OpenAI<\/span>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Entrada de texto + imagem; sa\u00edda de texto<\/span>\n  <\/div>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">A Meta descreve o Muse Spark 1.2 como um modelo com maior precis\u00e3o na codifica\u00e7\u00e3o na primeira tentativa e uma sele\u00e7\u00e3o de ferramentas mais confi\u00e1vel do que o Muse Spark 1.1. Essas s\u00e3o as alega\u00e7\u00f5es do fornecedor, conforme consta no <a href=\"https:\/\/developer.meta.com\/ai\/models\/muse-spark\/\">p\u00e1gina oficial do modelo Muse Spark<\/a>, e n\u00e3o conclus\u00f5es da nossa pr\u00f3pria sess\u00e3o de codifica\u00e7\u00e3o.<\/p>\n\n\n\n<h2 id=\"muse-spark-vs-muse-code\" class=\"wp-block-heading\">Muse Spark 1.2 x Muse Code<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>O Muse Spark 1.2 \u00e9 o modelo. O Muse Code \u00e9 um agente de terminal em vers\u00e3o beta independente, baseado nesse modelo.<\/strong> Essa distin\u00e7\u00e3o \u00e9 importante porque um agente pode incorporar funcionalidades como planejamento, orquestra\u00e7\u00e3o de ferramentas, navega\u00e7\u00e3o no reposit\u00f3rio, isolamento da \u00e1rvore de trabalho, registro em log e comportamento de repeti\u00e7\u00e3o de tentativas em torno do modelo subjacente.<\/p>\n\n\n\n<section class=\"muse-visual muse-identity muse-lavender\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #d5c6df;border-radius:22px;background:linear-gradient(135deg,#f4eff8 0%,#e8dff0 100%);color:#30283a;font-family:Inter,Arial,sans-serif\" aria-label=\"Diferen\u00e7a entre o Muse Spark 1.2 e o Muse Code\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Mantenha as camadas separadas<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(240px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\">\n      <span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">O modelo<\/span>\n      <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Muse Spark 1.2<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Contexto, racioc\u00ednio, comportamento da API, faturamento por token, resultados e decis\u00f5es sobre a chamada de ferramentas.<\/p>\n      <p style=\"margin-top:10px\"><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">IDs dos modelos<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">1M contexto<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Pre\u00e7os da API<\/span><\/p>\n    <\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\">\n      <span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">O agente beta<\/span>\n      <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">C\u00f3digo Muse<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Experi\u00eancia do usu\u00e1rio no terminal, subagentes, \u00e1rvores de trabalho do Git, log de eventos, retomada do fluxo, habilidades agrupadas e orquestra\u00e7\u00e3o.<\/p>\n      <p style=\"margin-top:10px\"><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Fluxo de trabalho do agente<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Resultados do sistema de meta-execu\u00e7\u00e3o<\/span><\/p>\n    <\/article>\n  <\/div>\n<\/section>\n\n\n\n<figure class=\"muse-evidence muse-evidence-official\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #d5c6df;border-radius:20px;background:#fdfbff;box-shadow:0 14px 35px rgba(54,42,63,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-model-overview.webp\" alt=\"P\u00e1gina do modelo Meta Muse Spark 1.2, mostrando seu foco em programa\u00e7\u00e3o e janela de contexto de um milh\u00e3o de tokens\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#5d5363;font-size:14px;line-height:1.55\"><strong>Vis\u00e3o geral oficial dos modelos.<\/strong> A Meta apresenta o Muse Spark 1.2 para fluxos de trabalho de programa\u00e7\u00e3o, uma janela de contexto de 1 milh\u00e3o de tokens e uma chamada de ferramentas mais confi\u00e1vel. <a href=\"https:\/\/developer.meta.com\/ai\/models\/muse-spark\/\">Fonte: P\u00e1gina do metamodelo<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/developer.meta.com\/ai\/products\/muse-code\/\">p\u00e1gina oficial do Muse Code<\/a> chama o produto de \u201cagente de codifica\u00e7\u00e3o beta\u201d. Isso torna as compara\u00e7\u00f5es com produtos como o Claude Code e o Codex mais \u00fateis do que fingir que todas as diferen\u00e7as observadas no fluxo de trabalho se devem apenas a uma chamada de modelo simples. Nosso <a href=\"https:\/\/www.glbgpt.com\/hub\/codex-vs-claude-code\/\">Compara\u00e7\u00e3o entre o Codex e o c\u00f3digo Claude<\/a> explica por que o ambiente pode influenciar a experi\u00eancia do desenvolvedor tanto quanto o modelo.<\/p>\n\n\n\n<h2 id=\"muse-spark-1-2-benchmarks\" class=\"wp-block-heading\">Testes de desempenho do Muse Spark 1.2: o que os resultados realmente revelam<\/h2>\n\n\n\n<figure class=\"muse-evidence muse-evidence-benchmark\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #3e6553;border-radius:20px;background:#edf4ef;box-shadow:0 14px 35px rgba(39,58,48,.10);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-official-benchmarks.webp\" alt=\"Gr\u00e1ficos de refer\u00eancia do Meta para o Muse Spark 1.2 nos conjuntos de testes Terminal-Bench, DeepSWE, codifica\u00e7\u00e3o interna e GDPVal-AA vers\u00e3o dois\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#3f584b;font-size:14px;line-height:1.55\"><strong>Evid\u00eancias de compara\u00e7\u00e3o de desempenho conduzidas pelos pr\u00f3prios prestadores de servi\u00e7os.<\/strong> A Meta publicou quatro pain\u00e9is de benchmark do Muse Spark 1.2; o emparelhamento entre o harness e o agente ainda precisa ser consultado junto com cada pontua\u00e7\u00e3o. <a href=\"https:\/\/developer.meta.com\/ai\/models\/muse-spark\/\">Fonte: P\u00e1gina do metamodelo<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O gr\u00e1fico de refer\u00eancia da Meta coloca o Muse Spark 1.2 entre os primeiros colocados em v\u00e1rias avalia\u00e7\u00f5es de programa\u00e7\u00e3o. Vale a pena examinar os n\u00fameros, mas eles n\u00e3o constituem um ranking \u00fanico e claro da qualidade bruta do modelo. O modelo, o agente, o conjunto de testes, a capacidade de racioc\u00ednio e o protocolo da tarefa podem variar em conjunto.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Meta-relat\u00f3rio do Terminal-Bench 2.1<\/h3>\n\n\n\n<figure class=\"muse-visual muse-benchmark muse-dark\" style=\"box-sizing:border-box;margin:28px 0;padding:24px;border:1px solid #3e6553;border-radius:22px;background:linear-gradient(135deg,#203f32 0%,#315846 100%);color:#f8f4ec;font-family:Inter,Arial,sans-serif\" aria-label=\"Pontua\u00e7\u00f5es do Terminal-Bench 2.1 relatadas pelo Meta\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#efb59a\">Painel de refer\u00eancia Meta<\/p>\n  <h3 style=\"margin:0 0 6px;color:#fff\">Banco de terminais 2.1<\/h3>\n  <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin:0 0 14px\">Todas as 89 tarefas \u00b7 aprova\u00e7\u00e3o em 1 das cinco tentativas \u00b7 combina\u00e7\u00f5es selecionadas de modelo e agente<\/p>\n  <div style=\"margin:-4px 0 14px\"><span class=\"muse-source-badge\" style=\"display:inline-block;margin:4px 5px 4px 0;padding:6px 9px;border-radius:8px;background:#f4d6c8;color:#754b3b;font-size:11px;font-weight:800\">Resultado da execu\u00e7\u00e3o do c\u00f3digo Muse<\/span> <span class=\"muse-source-badge public\" style=\"display:inline-block;margin:4px 5px 4px 0;padding:6px 9px;border-radius:8px;background:#dce9e1;color:#315b46;font-size:11px;font-weight:800\">n\u00e3o \u00e9 uma inscri\u00e7\u00e3o verificada na tabela de classifica\u00e7\u00e3o p\u00fablica<\/span><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span>C\u00f3digo do Opus 5 max + Claude<\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:86.7%\"><\/i><\/i><strong>86.7%<\/strong><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span><strong>Muse Spark 1.2 + Muse Code<\/strong><\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:82.9%\"><\/i><\/i><strong>82.9%<\/strong><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span>GPT-5.6 Terra max + Codex<\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:81.8%\"><\/i><\/i><strong>81.8%<\/strong><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span>Grok com 4,5 de altura + Grok Build<\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:81.6%\"><\/i><\/i><strong>81.6%<\/strong><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span>Gemini 3.6 Flash alto + CLI antigravitacional<\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:78.9%\"><\/i><\/i><strong>78.9%<\/strong><\/div>\n  <div class=\"muse-bar-row\" style=\"display:grid;grid-template-columns:minmax(110px,1fr) minmax(80px,1.2fr) 52px;gap:10px;align-items:center;margin:9px 0;font-size:12px\"><span>Muse Spark 1.1 + mini-swe-agent<\/span><i class=\"muse-track\" style=\"display:block;height:10px;overflow:hidden;border-radius:99px;background:#d9e4dc\"><i class=\"muse-fill\" style=\"display:block;height:100%;width:var(--score);border-radius:99px;background:#df8e69;--score:76.2%\"><\/i><\/i><strong>76.2%<\/strong><\/div>\n  <figcaption class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin-top:14px\">Fonte: P\u00e1gina do modelo Muse Spark 1.2 da Meta e metodologia de avalia\u00e7\u00e3o. Trata-se de combina\u00e7\u00f5es de modelos e agentes operadas pelos provedores.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O valor 82,9% \u00e9 um\u00a0<strong>Resultado da execu\u00e7\u00e3o do c\u00f3digo Muse<\/strong>. O\u00a0<a href=\"https:\/\/www.tbench.ai\/leaderboard\/terminal-bench\/2.1\">Classifica\u00e7\u00e3o p\u00fablica do Terminal-Bench 2.1<\/a>\u00a0n\u00e3o incluiu o Muse Spark 1.2 na lista em 26 de agosto de 2026, portanto, ele \u00e9\u00a0<strong>n\u00e3o \u00e9 uma inscri\u00e7\u00e3o verificada na tabela de classifica\u00e7\u00e3o p\u00fablica<\/strong>. O quadro p\u00fablico listou o Muse Spark 1.1 com o mini-SWE-agent em 76,2% \u00b11,2%.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-tall\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #cbdad0;border-radius:20px;background:#fff;box-shadow:0 14px 35px rgba(39,58,48,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/terminal-bench-2-1-leaderboard.webp\" alt=\"Classifica\u00e7\u00e3o p\u00fablica completa do Terminal-Bench 2.1, verificada em 7 de agosto de 2026, com todas as dezessete entradas vis\u00edveis\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#506258;font-size:14px;line-height:1.55\"><strong>Verifica\u00e7\u00e3o cruzada independente.<\/strong> A lista completa e p\u00fablica da placa Terminal-Bench 2.1 n\u00e3o inclu\u00eda o Muse Spark 1.2 quando verificada em 7 de agosto de 2026. <a href=\"https:\/\/www.tbench.ai\/leaderboard\/terminal-bench\/2.1\">Fonte: Terminal-Bench<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Relat\u00f3rio meta do DeepSWE 1.1<\/h3>\n\n\n\n<figure class=\"muse-visual muse-benchmark muse-rose\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #e0c1b5;border-radius:22px;background:linear-gradient(135deg,#fff1ea 0%,#f3ddd4 100%);color:#342a26;font-family:Inter,Arial,sans-serif\" aria-label=\"Pontua\u00e7\u00f5es do DeepSWE 1.1 relatadas no metan\u00e1lise\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#8e513e\">Painel de refer\u00eancia Meta<\/p>\n  <h3 style=\"margin:0 0 6px\">DeepSWE 1.1<\/h3>\n  <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin:0 0 14px\">113 tarefas \u00b7 91 reposit\u00f3rios \u00b7 cinco idiomas \u00b7 aprova\u00e7\u00e3o na primeira tentativa ap\u00f3s cinco tentativas<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Opus 5<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">65.0%<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">GPT-5.6 Terra<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">64.8%<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border:2px solid #b96549\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Muse Spark 1.2<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">59.3%<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Relatado por terceiros<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Grok 4,5<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">56.6%<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Muse Spark 1.1<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">53.0%<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Gemini 3,6 Flash<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">40.0%<\/strong><\/div>\n  <\/div>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/deepswe.datacurve.ai\/\">tabela de classifica\u00e7\u00e3o p\u00fablica do DeepSWE v1.1<\/a> utiliza o mini-swe-agent em todos os modelos listados para garantir a consist\u00eancia. O Muse Spark 1.2 ainda n\u00e3o havia sido adicionado no momento da verifica\u00e7\u00e3o; o Muse Spark 1.1 estava listado como 53%. O resultado de 59,3% da Meta utiliza o Muse Code, portanto, os dois n\u00fameros n\u00e3o s\u00e3o id\u00eanticos em termos de ambiente de teste.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-tall\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #e0c1b5;border-radius:20px;background:#fff8f4;box-shadow:0 14px 35px rgba(76,49,39,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/deepswe-leaderboard.webp\" alt=\"Classifica\u00e7\u00e3o p\u00fablica completa do DeepSWE vers\u00e3o 1.1, atualizada em 6 de agosto de 2026, incluindo gr\u00e1fico, tabela e nota sobre consist\u00eancia\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#685247;font-size:14px;line-height:1.55\"><strong>Verifica\u00e7\u00e3o cruzada independente.<\/strong> O DeepSWE utilizou o mini-swe-agent para todos os modelos listados e ainda n\u00e3o incluiu o Muse Spark 1.2. <a href=\"https:\/\/deepswe.datacurve.ai\/\">Fonte: DeepSWE v1.1<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Avalia\u00e7\u00f5es internas e de agentes gerais da Meta<\/h3>\n\n\n\n<section class=\"muse-visual muse-secondary-bench muse-lavender\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #d4c5de;border-radius:22px;background:#eee7f3;color:#30283a;font-family:Inter,Arial,sans-serif\" aria-label=\"Resultados do Meta interno e do GDPVal-AA v2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Duas escalas de avalia\u00e7\u00e3o diferentes<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(240px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\">\n      <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Bancada de codifica\u00e7\u00e3o interna da Meta<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin-bottom:12px\">440 tarefas internas \u00b7 duas tentativas por tarefa<\/p>\n      <div class=\"muse-table-scroll\" style=\"max-width:100%;overflow-x:auto;-webkit-overflow-scrolling:touch\"><table style=\"width:100%;border-collapse:collapse;font-size:13px\"><thead><tr><th style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.18);text-align:left;vertical-align:top;font-size:10px;letter-spacing:.06em;text-transform:uppercase\">Modelo<\/th><th style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.18);text-align:left;vertical-align:top;font-size:10px;letter-spacing:.06em;text-transform:uppercase\">Pontua\u00e7\u00e3o<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Opus 5<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">79.4%<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\"><strong>Muse Spark 1.2<\/strong><\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\"><strong>70.6%<\/strong><\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">GPT-5.6 Terra<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">65.4%<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Gemini 3,6 Flash<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">63.9%<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Grok 4,5<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">N\u00e3o mostrado<\/td><\/tr><\/tbody><\/table><\/div>\n    <\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\">\n      <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">GDPVal-AA v2<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin-bottom:12px\">Avalia\u00e7\u00e3o geral de tarefas agent\u00edsticas \u00b7 Valores no estilo Elo<\/p>\n      <div class=\"muse-table-scroll\" style=\"max-width:100%;overflow-x:auto;-webkit-overflow-scrolling:touch\"><table style=\"width:100%;border-collapse:collapse;font-size:13px\"><thead><tr><th style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.18);text-align:left;vertical-align:top;font-size:10px;letter-spacing:.06em;text-transform:uppercase\">Modelo<\/th><th style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.18);text-align:left;vertical-align:top;font-size:10px;letter-spacing:.06em;text-transform:uppercase\">Pontua\u00e7\u00e3o<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Opus 5<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">1852<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\"><strong>Muse Spark 1.2<\/strong><\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\"><strong>1631<\/strong><\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">GPT-5.6 Terra<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">1577<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Grok 4,5<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">1526<\/td><\/tr><tr><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">Gemini 3,6 Flash<\/td><td style=\"padding:10px;border-bottom:1px solid rgba(54,74,63,.13);text-align:left;vertical-align:top\">1423<\/td><\/tr><\/tbody><\/table><\/div>\n    <\/article>\n  <\/div>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Da Meta <a href=\"https:\/\/research.meta.ai\/static\/muse-spark-1-2-methodology\">metodologia de avalia\u00e7\u00e3o<\/a> Afirma que o Terminal-Bench utiliza todas as 89 tarefas e alcan\u00e7a pass@1 em cinco tentativas. O DeepSWE abrange 113 tarefas em 91 reposit\u00f3rios e cinco linguagens, tamb\u00e9m alcan\u00e7ando pass@1 em cinco tentativas. A Meta tamb\u00e9m observa que sua configura\u00e7\u00e3o pode n\u00e3o estar otimizada para modelos de terceiros. Para uma compara\u00e7\u00e3o atual com concorrentes baseada em decis\u00f5es reais sobre produtos, consulte <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-opus-5-vs-gpt-5-6\/\">Claude Opus 5 x GPT-5.6<\/a>.<\/p>\n\n\n\n<section class=\"muse-visual muse-methodology muse-gold\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #dfc98e;border-radius:22px;background:linear-gradient(135deg,#fff8e8 0%,#f2e2b9 100%);color:#382f1f;font-family:Inter,Arial,sans-serif\" aria-label=\"Compara\u00e7\u00e3o de metodologias de benchmark\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">A metodologia altera o significado<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Meta Terminal-Bench<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Modelo + agente selecionado<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">89 tarefas, cinco tentativas, configura\u00e7\u00f5es m\u00e1ximas de racioc\u00ednio diferentes, e o ambiente de teste da Meta pode n\u00e3o estar ajustado da mesma forma para sistemas de terceiros.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Banco de espera p\u00fablico<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Entradas verificadas<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O Muse Spark 1.2 n\u00e3o foi encontrado na verifica\u00e7\u00e3o. As configura\u00e7\u00f5es da placa e o status da verifica\u00e7\u00e3o devem ser consultados separadamente na tabela da Meta.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">DeepSWE P\u00fablico<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Agente mini-swe comum<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">113 tarefas distribu\u00eddas por 91 reposit\u00f3rios e cinco linguagens. O Muse Spark 1.2 n\u00e3o constava; o Muse Spark 1.1 estava listado como 53%.<\/p><\/article>\n  <\/div>\n<\/section>\n\n\n\n<figure class=\"muse-evidence muse-evidence-document\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #dfc98e;border-radius:20px;background:#fffaf0;box-shadow:0 14px 35px rgba(72,58,30,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-benchmark-methodology-page-1.webp\" alt=\"P\u00e1gina um da metodologia de avalia\u00e7\u00e3o do Meta Muse Spark 1.2 e do Muse Code, com emparelhamentos de agentes e configura\u00e7\u00f5es de racioc\u00ednio\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#655839;font-size:14px;line-height:1.55\"><strong>Evid\u00eancias metodol\u00f3gicas.<\/strong> O Meta combina diferentes modelos com diferentes agentes e configura\u00e7\u00f5es de racioc\u00ednio; portanto, o gr\u00e1fico de provedores n\u00e3o \u00e9 uma classifica\u00e7\u00e3o bruta baseada apenas nos modelos. <a href=\"https:\/\/research.meta.ai\/static\/muse-spark-1-2-methodology\">Fonte: PDF sobre a metodologia Meta<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">An\u00e1lise Artificial: contexto independente \u00fatil<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">O\u00a0<a href=\"https:\/\/artificialanalysis.ai\/models\/muse-spark-1-2\">P\u00e1gina do modelo de an\u00e1lise artificial<\/a>\u00a0atribui ao Muse Spark 1.2 um \u00cdndice de Intelig\u00eancia de\u00a0<strong>57<\/strong>, acima da mediana de 35 para modelos compar\u00e1veis, conforme verificado em 26 de agosto de 2026. Seu conjunto de testes apresenta 80% no Terminal-Bench v2.1, 57% normalizado no GDPVal-AA v2, 56% no SciCode e 83% na avalia\u00e7\u00e3o de contexto longo AA-LCR.<\/p>\n\n\n\n<figure class=\"muse-visual muse-aa-drift\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #d8d2c8;border-radius:22px;background:#fff;color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Lan\u00e7amento da An\u00e1lise Artificial e altera\u00e7\u00f5es na pontua\u00e7\u00e3o atual\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#53645a\">Desvio de vers\u00e3o na An\u00e1lise Artificial<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">\u00cdndice de Intelig\u00eancia<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">54 \u2192 57<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Vers\u00e3o\/resultado da avalia\u00e7\u00e3o alterado(a)<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">GDPVal Elo<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">1371 \u2192 1631<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Valor de corrente mais alto<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Bancada de Terminal<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">78% \u2192 80%<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Resultado do chicote AA com corrente mais alta<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Custo por tarefa<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$0,29 \u2192 $0,40<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O aumento do uso de tokens elevou os custos<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Taxa de alucina\u00e7\u00f5es<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">38% \u2192 28%<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Menor, juntamente com um aumento da absten\u00e7\u00e3o<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Taxa de tentativas<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">82% \u2192 67%<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O modelo tentou responder a menos perguntas<\/span><\/div>\n  <\/div>\n  <figcaption class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin-top:12px\">Fonte: P\u00e1gina do modelo de an\u00e1lise artificial e <a href=\"https:\/\/artificialanalysis.ai\/articles\/muse-spark-1-2\">an\u00e1lise de lan\u00e7amento<\/a>. Os valores iniciais e os valores atuais n\u00e3o devem ser misturados como se fossem resultado de uma \u00fanica avalia\u00e7\u00e3o inalterada.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A li\u00e7\u00e3o pr\u00e1tica \u00e9 simples: o Muse Spark 1.2 parece competitivo, mas nenhuma pontua\u00e7\u00e3o isolada define o modelo. Considere o gr\u00e1fico da Meta como evid\u00eancia do sistema Muse Code, os rankings p\u00fablicos como uma verifica\u00e7\u00e3o cruzada separada e a Artificial Analysis como uma avalia\u00e7\u00e3o independente, por\u00e9m configurada de maneira diferente.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-independent\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #d8d2c8;border-radius:20px;background:#fff;box-shadow:0 14px 35px rgba(52,48,42,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/artificial-analysis-summary.webp\" alt=\"Resumo do Artificial Analysis Muse Spark 1.2, apresentando o \u00cdndice de Intelig\u00eancia 57, classifica\u00e7\u00e3o, pre\u00e7os, custo de avalia\u00e7\u00e3o e um contexto de um milh\u00e3o de tokens\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#5f5a52;font-size:14px;line-height:1.55\"><strong>Avalia\u00e7\u00e3o independente do modelo.<\/strong> A An\u00e1lise Artificial apresenta um \u00cdndice de Intelig\u00eancia de 57 e oferece uma verifica\u00e7\u00e3o separada de pre\u00e7o, contexto, modalidades e custo de avalia\u00e7\u00e3o. <a href=\"https:\/\/artificialanalysis.ai\/models\/muse-spark-1-2\">Fonte: An\u00e1lise Artificial<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h2 id=\"muse-spark-1-2-pricing\" class=\"wp-block-heading\">Muse Spark 1.2: Pre\u00e7os e compromissos em rela\u00e7\u00e3o \u00e0 privacidade<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A Meta oferece dois IDs de modelo de API com pre\u00e7os significativamente diferentes. A op\u00e7\u00e3o mais barata n\u00e3o \u00e9 apenas um desconto: ela altera a forma como os dados enviados podem ser utilizados.<\/p>\n\n\n\n<figure class=\"muse-visual muse-pricing muse-gold\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #dfc98e;border-radius:22px;background:linear-gradient(135deg,#fff9eb 0%,#f5ead0 100%);color:#382f1f;font-family:Inter,Arial,sans-serif\" aria-label=\"Pre\u00e7os da vers\u00e3o padr\u00e3o e para colaboradores do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">USD por um milh\u00e3o de tokens \u00b7 Contexto de 1M<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(240px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border-top:5px solid #315b46\">\n      <span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Padr\u00e3o \u00b7 muse-spark-1.2<\/span>\n      <h3 style=\"margin:8px 0\">N\u00e3o \u00e9 utilizado para o aprimoramento do produto<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">N\u00e3o \u00e9 utilizado para aprimorar os produtos da Meta<\/p>\n      <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));margin-top:14px\">\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Entrada<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$1.25<\/strong><\/div>\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Cache<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$0.15<\/strong><\/div>\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Sa\u00edda<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$4.25<\/strong><\/div>\n      <\/div>\n    <\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border-top:5px solid #d27b59\">\n      <span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Colaborador \u00b7 muse-spark-1.2-contributor<\/span>\n      <h3 style=\"margin:8px 0\">Mais barato, mas com uma restri\u00e7\u00e3o no uso de dados<\/h3>\n      <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Dados <strong>podem ser usados para aprimorar os produtos da Meta<\/strong><\/p>\n      <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));margin-top:14px\">\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Entrada<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$0.10<\/strong><\/div>\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Cache<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$0.002<\/strong><\/div>\n        <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Sa\u00edda<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1\">$0.20<\/strong><\/div>\n      <\/div>\n    <\/article>\n  <\/div>\n  <figcaption class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin-top:12px\">Pre\u00e7os oficiais da Meta verificados em 7 de agosto de 2026. As condi\u00e7\u00f5es de privacidade variam de acordo com o n\u00edvel.<\/figcaption>\n<\/figure>\n\n\n\n<figure class=\"muse-evidence muse-evidence-pricing\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #dfc98e;border-radius:20px;background:#fffaf0;box-shadow:0 14px 35px rgba(72,58,30,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-official-pricing.webp\" alt=\"Tabela de pre\u00e7os da API padr\u00e3o e para colaboradores do Meta Muse Spark 1.2, com identificadores de modelos e termos de uso de dados\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#655839;font-size:14px;line-height:1.55\"><strong>Pre\u00e7os oficiais.<\/strong> A Meta lista separadamente os IDs dos modelos padr\u00e3o e do modelo Contributor, os pre\u00e7os dos tokens e as condi\u00e7\u00f5es de uso dos dados. <a href=\"https:\/\/developer.meta.com\/ai\/models\/muse-spark\/\">Fonte: P\u00e1gina do metamodelo<\/a>, consultado em 7 de agosto de 2026.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O pre\u00e7o do plano Contributor \u00e9 12,5 vezes mais barato para entradas, 75 vezes mais barato para entradas em cache e 21,25 vezes mais barato para sa\u00eddas do que o plano padr\u00e3o. N\u00e3o existe uma \u00fanica porcentagem de desconto que descreva todos os tipos de tokens.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Um pesquisador da Meta promoveu o n\u00edvel \u201cContributor\u201d como \u201cat\u00e9 250 vezes mais barato\u201d que o Fable e \u201c150 vezes mais barato\u201d que o GPT-5.6 Sol. Isso <a href=\"https:\/\/x.com\/mattdeitke\/status\/2085150280509948056?lang=en\">compara\u00e7\u00e3o social<\/a> utiliza os pre\u00e7os do Contributor, e n\u00e3o o modelo padr\u00e3o, e deve sempre incluir a ressalva relativa ao uso de dados. Os leitores que desejarem comparar os custos atuais dos concorrentes podem utilizar nossa se\u00e7\u00e3o separada <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-5-6-pricing\/\">Guia de pre\u00e7os do GPT-5.6<\/a> e <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-code-pricing\/\">Discrimina\u00e7\u00e3o dos pre\u00e7os do c\u00f3digo Claude<\/a>.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-social\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #d5c6df;border-radius:20px;background:#fdfbff;box-shadow:0 14px 35px rgba(54,42,63,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/x-mattdeitke-contributor-pricing.webp\" alt=\"Postagem de Matt Deitke nas redes sociais promovendo os pre\u00e7os dos tokens de entrada, entrada em cache e sa\u00edda do n\u00edvel Contributor do Muse Spark 1.2\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#5d5363;font-size:14px;line-height:1.55\"><strong>Contexto dos pre\u00e7os de lan\u00e7amento.<\/strong> Um pesquisador da Meta divulgou a compara\u00e7\u00e3o de pre\u00e7os do plano Contributor; a publica\u00e7\u00e3o n\u00e3o mostra os pre\u00e7os mais altos do plano padr\u00e3o e deve ser lida levando em conta a rela\u00e7\u00e3o custo-benef\u00edcio do uso de dados. <a href=\"https:\/\/x.com\/mattdeitke\/status\/2085150280509948056?lang=en\">Fonte: Matt Deitke no X<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Para reposit\u00f3rios p\u00fablicos, tarefas sint\u00e9ticas ou ambientes de avalia\u00e7\u00e3o descart\u00e1veis, o plano Contributor pode ser uma op\u00e7\u00e3o atraente. Para c\u00f3digo privado, dados de clientes, credenciais ou arquitetura propriet\u00e1ria, o plano padr\u00e3o \u00e9 a op\u00e7\u00e3o padr\u00e3o mais segura. A Meta tamb\u00e9m afirma que est\u00e1 come\u00e7ando a aceitar solicita\u00e7\u00f5es de reten\u00e7\u00e3o zero de dados por meio da equipe de vendas, o que constitui um canal de acesso separado, em vez da configura\u00e7\u00e3o padr\u00e3o de autoatendimento.<\/p>\n\n\n\n<h2 id=\"muse-spark-1-2-api\" class=\"wp-block-heading\">Acesso \u00e0 API do Muse Spark 1.2 e exemplos<\/h2>\n\n\n\n<figure class=\"muse-evidence muse-evidence-api\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #bfd3c5;border-radius:20px;background:#f7faf8;box-shadow:0 14px 35px rgba(39,58,48,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-model-api-overview.webp\" alt=\"P\u00e1gina da API do Meta Model que descreve o acesso direto e aut\u00f4nomo ao Muse Spark na pr\u00e9via p\u00fablica\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#506258;font-size:14px;line-height:1.55\"><strong>Acesso oficial \u00e0 API.<\/strong> A Meta descreve o acesso direto e aut\u00f4nomo ao Muse Spark por meio da API do Meta Model, que est\u00e1 em pr\u00e9-visualiza\u00e7\u00e3o p\u00fablica. <a href=\"https:\/\/developer.meta.com\/ai\/products\/meta-model-api\/\">Fonte: API do Meta Model<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<section class=\"muse-visual muse-api-route\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #cbdad0;border-radius:22px;background:#f7faf8;color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Rotas de acesso do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Tr\u00eas vias de acesso oficiais<\/p>\n  <div class=\"muse-route\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:10px;align-items:stretch\">\n    <div class=\"muse-node\" style=\"padding:14px 10px;border:1px solid #bfd0c3;border-radius:14px;background:#edf3ee;text-align:center;font-weight:800\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Agente de terminal<\/span>Muse Code beta<\/div>\n    <div class=\"muse-node\" style=\"padding:14px 10px;border:1px solid #bfd0c3;border-radius:14px;background:#edf3ee;text-align:center;font-weight:800\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">API direta<\/span>API do Meta Modelo<\/div>\n    <div class=\"muse-node\" style=\"padding:14px 10px;border:1px solid #bfd0c3;border-radius:14px;background:#edf3ee;text-align:center;font-weight:800\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Agregador<\/span>OpenRouter<\/div>\n  <\/div>\n  <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin:14px 0 0\">URL oficial do livro de receitas: <code>https:\/\/api.meta.ai\/v1<\/code> \u00b7 1.2 solicita\u00e7\u00e3o nesta revis\u00e3o: n\u00e3o executada<\/p>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/developer.meta.com\/ai\/products\/meta-model-api\/\">API do Meta Modelo<\/a> oferece suporte a um fluxo de trabalho compat\u00edvel com o SDK OpenAI. O guia oficial da Meta utiliza a URL base <code>https:\/\/api.meta.ai\/v1<\/code> e l\u00ea a chave de <code>MODEL_API_KEY<\/code>. A p\u00e1gina do produto tamb\u00e9m descreve o \u201csearch grounding\u201d, enquanto o manual aborda autocompletos em bate-papo, streaming, chamada de ferramentas, sa\u00edda estruturada, armazenamento em cache de prompts, controles de racioc\u00ednio, vis\u00e3o, contexto longo, novas tentativas e receitas de pesquisa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Exemplo de livro de receitas oficial \u2014 vers\u00e3o capturada:<\/strong> O <a href=\"https:\/\/github.com\/meta-models\/meta-model-cookbook\">livro de receitas oficial do GitHub<\/a> ainda usa <code>muse-spark-1.1<\/code>. Isso comprova a estrutura do cliente e a URL base, e n\u00e3o que o exemplo tenha sido atualizado para a vers\u00e3o 1.2.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import os\n\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=\"https:\/\/api.meta.ai\/v1\",\n    api_key=os.environ&#91;\"MODEL_API_KEY\"],\n)\n\nresponse = client.chat.completions.create(\n    model=\"muse-spark-1.1\",\n    messages=&#91;{\"role\": \"user\", \"content\": \"Hello, world!\"}],\n)\n\nprint(response.choices&#91;0].message.content)<\/code><\/pre>\n\n\n\n<figure class=\"muse-evidence muse-evidence-document\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #cbdad0;border-radius:20px;background:#fff;box-shadow:0 14px 35px rgba(39,58,48,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-github-api-quickstart.webp\" alt=\"Guia pr\u00e1tico da API do Meta Model no GitHub, apresentando a URL base do SDK OpenAI, a chave de ambiente e um exemplo completo de preenchimento autom\u00e1tico de chat\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#506258;font-size:14px;line-height:1.55\"><strong>Livro de receitas oficial.<\/strong> O arquivo README capturado mostra o padr\u00e3o do SDK OpenAI e a URL base, mas, quando verificado, o exemplo ainda utilizava o Muse Spark 1.1. <a href=\"https:\/\/github.com\/meta-models\/meta-model-cookbook\">Fonte: Guia pr\u00e1tico da API do Meta Model<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Adapta\u00e7\u00e3o documentada \u2014 n\u00e3o executada:<\/strong> A Meta lista separadamente <code>muse-spark-1.2<\/code> como o ID padr\u00e3o do modelo 1.2. A substitui\u00e7\u00e3o m\u00ednima abaixo combina dois fatos oficiais, mas nenhuma solicita\u00e7\u00e3o paga foi enviada durante esta revis\u00e3o.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>response = client.chat.completions.create(\n    model=\"muse-spark-1.2\",\n    messages=&#91;{\"role\": \"user\", \"content\": \"Hello, world!\"}],\n)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">O Muse Spark \u00e9 um modelo de racioc\u00ednio, e <strong>os tokens de racioc\u00ednio s\u00e3o contabilizados como sa\u00edda<\/strong>. Isso torna a taxa de sa\u00edda padr\u00e3o $4.25 mais importante do que parece \u00e0 primeira vista: uma resposta aparentemente curta ainda pode conter um racioc\u00ednio subjacente significativo. A lat\u00eancia real, o tempo at\u00e9 o primeiro token, a taxa de repeti\u00e7\u00e3o de tentativas e o custo por tarefa continuam sem serem medidos aqui.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-api\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #dfc98e;border-radius:20px;background:#fffaf0;box-shadow:0 14px 35px rgba(72,58,30,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-developer-reasoning-billing.webp\" alt=\"Guia do desenvolvedor da Meta explicando o faturamento por token de racioc\u00ednio do Muse Spark e o controle de esfor\u00e7o do Muse Code\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#655839;font-size:14px;line-height:1.55\"><strong>Comportamento de cobran\u00e7a.<\/strong> A Meta afirma que os tokens de racioc\u00ednio do Muse Spark s\u00e3o cobrados como sa\u00edda, enquanto o Muse Code <code>\/esfor\u00e7o<\/code> O comando altera a profundidade do racioc\u00ednio. <a href=\"https:\/\/developer.meta.com\/ai\/resources\/blog\/build-with-muse-code\/\">Fonte: Guia do desenvolvedor do Meta<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h2 id=\"what-muse-code-adds\" class=\"wp-block-heading\">O que o Muse Code oferece<\/h2>\n\n\n\n<figure class=\"muse-evidence muse-evidence-agent\" style=\"box-sizing:border-box;max-width:1040px;margin:30px auto;padding:12px;border:1px solid #3e6553;border-radius:20px;background:#17251f;box-shadow:0 14px 35px rgba(25,38,31,.16);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/meta-muse-code-install.webp\" alt=\"P\u00e1gina oficial da vers\u00e3o beta do Muse Code, apresentando o agente de codifica\u00e7\u00e3o para terminal e seu instalador de um \u00fanico comando\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#17251f\">\n  <figcaption style=\"padding:11px 4px 2px;color:#d8e5dd;font-size:14px;line-height:1.55\"><strong style=\"color:#fff\">Muse Code beta.<\/strong> A Meta apresenta o Muse Code como um agente de terminal para fluxos de trabalho complexos de programa\u00e7\u00e3o e oferece um instalador que funciona com um \u00fanico comando. <a style=\"color:#bfe2cc\" href=\"https:\/\/developer.meta.com\/ai\/products\/muse-code\/\">Fonte: p\u00e1gina oficial do Muse Code<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O Muse Code \u00e9 instalado a partir do terminal e integra o Muse Spark 1.2 a um fluxo de trabalho de agente. A Meta\u2019s <a href=\"https:\/\/developer.meta.com\/ai\/resources\/blog\/build-with-muse-code\/\">an\u00e1lise aprofundada para desenvolvedores<\/a> descreve v\u00e1rios comportamentos que n\u00e3o fazem parte de uma chamada simples de API:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Agentes paralelos:<\/strong> As tarefas podem ser executadas em \u00e1rvores de trabalho do Git isoladas.<\/li>\n\n\n\n<li><strong>Registro de eventos somente para adi\u00e7\u00e3o:<\/strong> As sess\u00f5es e a\u00e7\u00f5es s\u00e3o gravadas em um arquivo JSONL local para fins de auditoria e reprodu\u00e7\u00e3o.<\/li>\n\n\n\n<li><strong>Retomar o fluxo:<\/strong> <code>curr\u00edculo da Muse<\/code> pode retomar sess\u00f5es interrompidas.<\/li>\n\n\n\n<li><strong>Controle de racioc\u00ednio:<\/strong> o <code>\/esfor\u00e7o<\/code> O comando ajusta a intensidade do racioc\u00ednio.<\/li>\n\n\n\n<li><strong>Compet\u00eancias expl\u00edcitas:<\/strong> Nomes de meta <code>\/sabor<\/code>, <code>\/grelhar<\/code>, <code>\/churrasqueira-com-documenta\u00e7\u00e3o<\/code>, e <code>\/plano<\/code>.<\/li>\n<\/ul>\n\n\n\n<section class=\"muse-visual muse-feature-map muse-lavender\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #d4c5de;border-radius:22px;background:#eee7f3;color:#30283a;font-family:Inter,Arial,sans-serif\" aria-label=\"Mapa de recursos do Muse Code\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Recursos do produto do agente<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(130px,1fr))\">\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Paralelismo<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Subagentes<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">As tarefas independentes podem se ramificar.<\/p><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Isolamento<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">\u00c1rvores de trabalho<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Os ramos permanecem separados durante o trabalho paralelo.<\/p><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Auditoria<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Log do JSONL<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Os eventos locais do tipo \u201csomente adi\u00e7\u00e3o\u201d oferecem suporte \u00e0 reprodu\u00e7\u00e3o.<\/p><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Recupera\u00e7\u00e3o<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Curr\u00edculo<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\"><code>curr\u00edculo da Muse<\/code> d\u00e1 continuidade \u00e0s sess\u00f5es interrompidas.<\/p><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Ferramentas expl\u00edcitas<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Habilidades<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\"><code>\/sabor<\/code>, <code>\/grelhar<\/code>, <code>\/churrasqueira-com-documenta\u00e7\u00e3o<\/code>, <code>\/plano<\/code>.<\/p><\/div>\n  <\/div>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Esse conjunto de recursos torna o Muse Code relevante para o mercado mais amplo de agentes de programa\u00e7\u00e3o, onde o planejamento, o isolamento, a reprodu\u00e7\u00e3o e a disciplina no uso de ferramentas s\u00e3o t\u00e3o importantes quanto a intelig\u00eancia do modelo. O <a href=\"https:\/\/www.glbgpt.com\/hub\/openclaw-vs-claude-code-vs-opencode\/\">Guia comparativo entre OpenClaw, Claude e OpenCode<\/a> \u00e9 um contexto \u00fatil para essas diferen\u00e7as no n\u00edvel do produto.<\/p>\n\n\n\n<h2 id=\"launch-and-community-signals\" class=\"wp-block-heading\">Afirma\u00e7\u00f5es sobre o lan\u00e7amento e primeiros sinais da comunidade<\/h2>\n\n\n\n<section class=\"muse-visual muse-signals muse-rose\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #dfb8a9;border-radius:22px;background:linear-gradient(135deg,#fff1ea 0%,#f0d2c6 100%);color:#342a26;font-family:Inter,Arial,sans-serif\" aria-label=\"Lan\u00e7amento do Muse Spark 1.2 e aulas sobre evid\u00eancias da comunidade\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Rea\u00e7\u00e3o n\u00e3o \u00e9 valida\u00e7\u00e3o<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Enquadramento do lan\u00e7amento oficial<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Treinamento + horizonte de longo prazo<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Mais recursos de computa\u00e7\u00e3o para programa\u00e7\u00e3o, diversidade de ambientes, treinamento conjunto e um teste de estresse com mais de 1.000 chamadas de ferramentas.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Uma hist\u00f3ria positiva<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Pre\u00e7o e OpenCode<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Um usu\u00e1rio do Reddit elogiou uma experi\u00eancia inicial com programa\u00e7\u00e3o e o valor que ela trouxe.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Quest\u00f5es em aberto<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Privacidade + confiabilidade<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Outros usu\u00e1rios levantaram quest\u00f5es relacionadas ao uso de dados, ao pre\u00e7o padr\u00e3o, \u00e0 disponibilidade e \u00e0 confiabilidade inicial.<\/p><\/article>\n  <\/div>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">A equipe de IA da Meta afirma que o Muse Spark 1.2 recebeu mais recursos computacionais para treinamento em programa\u00e7\u00e3o, ambientes mais variados, maior \u00eanfase na gera\u00e7\u00e3o e depura\u00e7\u00e3o de reposit\u00f3rios completos e treinamento conjunto com o Muse Code. Um outro <a href=\"https:\/\/x.com\/AIatMeta\/status\/2085084713203487041\">t\u00f3pico de lan\u00e7amento<\/a> descreve um teste de estresse com dura\u00e7\u00e3o de at\u00e9 24 horas, envolvendo mais de 1.000 chamadas de ferramentas em GPUs NVIDIA Hopper.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-social\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #d5c6df;border-radius:20px;background:#fdfbff;box-shadow:0 14px 35px rgba(54,42,63,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/x-aiatmeta-coding-improvements.webp\" alt=\"Postagem da equipe de IA da Meta descrevendo o treinamento em programa\u00e7\u00e3o do Muse Spark 1.2, a depura\u00e7\u00e3o, a gera\u00e7\u00e3o de reposit\u00f3rios completos e o co-treinamento com o Muse Code\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#5d5363;font-size:14px;line-height:1.55\"><strong>Enquadramento do lan\u00e7amento oficial.<\/strong> A equipe de IA da Meta afirma que o modelo recebeu mais recursos computacionais para tarefas de programa\u00e7\u00e3o, ambientes mais abrangentes e um treinamento conjunto com o Muse Code. <a href=\"https:\/\/x.com\/AIatMeta\/status\/2085084713203487041\">Fonte: IA na Meta no X<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<figure class=\"muse-evidence muse-evidence-social\" style=\"box-sizing:border-box;max-width:820px;margin:30px auto;padding:12px;border:1px solid #e0c1b5;border-radius:20px;background:#fff8f4;box-shadow:0 14px 35px rgba(76,49,39,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/x-aiatmeta-1000-tool-calls.webp\" alt=\"Postagem da Meta sobre IA que descreve um teste de estresse do Muse Code com mais de mil chamadas \u00e0 ferramenta ao longo de um per\u00edodo de at\u00e9 vinte e quatro horas\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#685247;font-size:14px;line-height:1.55\"><strong>Demonstra\u00e7\u00e3o de longo prazo.<\/strong> A Meta apresentou um teste de carga no kernel da GPU com mais de 1.000 chamadas de ferramentas; isso n\u00e3o representa uma taxa geral de confiabilidade das ferramentas. <a href=\"https:\/\/x.com\/AIatMeta\/status\/2085084713203487041\">Fonte: IA na Meta no X<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Essa \u00e9 uma demonstra\u00e7\u00e3o impressionante, mas n\u00e3o se trata de uma taxa de sucesso geral quantificada. Ela n\u00e3o nos diz com que frequ\u00eancia o agente escolheu a ferramenta certa, se recuperou de erros, evitou chamadas duplicadas ou concluiu uma tarefa normal do reposit\u00f3rio sem precisar de orienta\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As primeiras postagens no Reddit tamb\u00e9m apresentam opini\u00f5es contradit\u00f3rias. Uma delas <a href=\"https:\/\/www.reddit.com\/r\/opencode\/comments\/1vhk4d0\/muse_spark_12_is_awesome\/\">Um usu\u00e1rio do r\/opencode relatou uma experi\u00eancia positiva com o OpenCode<\/a> e elogiou o pre\u00e7o. Um outro <a href=\"https:\/\/www.reddit.com\/r\/opencodeCLI\/comments\/1vh346f\/muse_spark_12_for_over_20_times_less_if_you_share\/\">Discuss\u00e3o sobre pre\u00e7os para colaboradores<\/a> levantaram quest\u00f5es relacionadas ao uso de dados, ao custo do plano padr\u00e3o, \u00e0 disponibilidade e \u00e0 confiabilidade. Trata-se de rea\u00e7\u00f5es individuais, e n\u00e3o de um consenso da comunidade.<\/p>\n\n\n\n<figure class=\"muse-evidence muse-evidence-community\" style=\"box-sizing:border-box;max-width:900px;margin:30px auto;padding:12px;border:1px solid #bfd3c5;border-radius:20px;background:#f7faf8;box-shadow:0 14px 35px rgba(39,58,48,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/reddit-opencode-early-positive-post.webp\" alt=\"Usu\u00e1rio do Reddit descrevendo uma experi\u00eancia inicial positiva com a programa\u00e7\u00e3o do Muse Spark 1.2 e seu pre\u00e7o acess\u00edvel no OpenCode\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#506258;font-size:14px;line-height:1.55\"><strong>Um dos primeiros relatos de usu\u00e1rios.<\/strong> Um usu\u00e1rio do Reddit elogiou a experi\u00eancia de programa\u00e7\u00e3o e o pre\u00e7o do OpenCode; trata-se de uma observa\u00e7\u00e3o isolada, n\u00e3o de um consenso geral. <a href=\"https:\/\/www.reddit.com\/r\/opencode\/comments\/1vhk4d0\/muse_spark_12_is_awesome\/\">Fonte: r\/opencode<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<figure class=\"muse-evidence muse-evidence-community\" style=\"box-sizing:border-box;max-width:900px;margin:30px auto;padding:12px;border:1px solid #e0c1b5;border-radius:20px;background:#fff8f4;box-shadow:0 14px 35px rgba(76,49,39,.09);font-family:Inter,Arial,sans-serif\">\n  <img src=\"https:\/\/static.futureshareai.com\/glb_features\/reddit-opencodecli-data-pricing-post.webp\" alt=\"Discuss\u00e3o no Reddit comparando os pre\u00e7os do Muse Spark 1.2 (padr\u00e3o) e do Contributor, ao mesmo tempo em que levanta preocupa\u00e7\u00f5es sobre o compartilhamento de dados\" loading=\"lazy\" decoding=\"async\" style=\"display:block;width:100%;height:auto;border-radius:12px;background:#fff\">\n  <figcaption style=\"padding:11px 4px 2px;color:#685247;font-size:14px;line-height:1.55\"><strong>Privacidade e rea\u00e7\u00e3o em rela\u00e7\u00e3o ao valor.<\/strong> Essa discuss\u00e3o da comunidade combina o interesse pelo pre\u00e7o do plano Contributor com preocupa\u00e7\u00f5es sobre o uso dos dados, a disponibilidade e o custo do plano padr\u00e3o. <a href=\"https:\/\/www.reddit.com\/r\/opencodeCLI\/comments\/1vh346f\/muse_spark_12_for_over_20_times_less_if_you_share\/\">Fonte: r\/opencodeCLI<\/a>.<\/figcaption>\n<\/figure>\n\n\n\n<h2 id=\"muse-spark-1-2-coding-tests\" class=\"wp-block-heading\">Testes de programa\u00e7\u00e3o do Muse Spark 1.2: 3 de 3 tarefas aprovadas<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Em nossos testes, o modelo b\u00e1sico do Muse Spark 1.2 realizou tr\u00eas tarefas controladas de codifica\u00e7\u00e3o por meio de uma API de autocompletamento de chat compat\u00edvel com OpenAI.<\/strong> Cada tarefa teve direito a uma tentativa, sem repeti\u00e7\u00f5es e sem interven\u00e7\u00e3o humana. Avaliamos os arquivos retornados em reposit\u00f3rios descart\u00e1veis por meio de verifica\u00e7\u00f5es p\u00fablicas e ocultas. A execu\u00e7\u00e3o do agente Muse Code n\u00e3o foi testada, assim como a confiabilidade das chamadas de ferramentas; portanto, esses resultados n\u00e3o devem ser interpretados como um benchmark do agente.<\/p>\n\n\n\n<section class=\"muse-visual muse-test-results muse-dark\" style=\"box-sizing:border-box;margin:28px 0;padding:24px;border:1px solid #416754;border-radius:24px;background:linear-gradient(135deg,#1f3e31 0%,#345c49 100%);color:#f8f4ec;font-family:Inter,Arial,sans-serif\" aria-label=\"Resumo do teste de programa\u00e7\u00e3o do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#efb59a\">Resultado de uma \u00fanica tentativa<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(145px,1fr))\">\n    <div style=\"padding:14px;border-left:3px solid #efb59a\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Tarefas<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;color:#fff\">3\/3<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">3\/3 tarefas de programa\u00e7\u00e3o conclu\u00eddas com sucesso<\/span><\/div>\n    <div style=\"padding:14px;border-left:3px solid #d7bd75\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Lat\u00eancia m\u00e9dia<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;color:#fff\">12,98 s<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">12,98 segundos por tarefa<\/span><\/div>\n    <div style=\"padding:14px;border-left:3px solid #9fc7ad\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Utiliza\u00e7\u00e3o<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;color:#fff\">12,100<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">12.100 tokens no total<\/span><\/div>\n    <div style=\"padding:14px;border-left:3px solid #c5add1\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Custo declarado<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;color:#fff\">$0.045362<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Tr\u00eas convocat\u00f3rias para modelos<\/span><\/div>\n  <\/div>\n  <p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82;margin:14px 0 0\">As respostas utilizaram 6.618 unidades de racioc\u00ednio. As tr\u00eas raz\u00f5es finais foram <code>pare<\/code>, e o campo \u201cprovedor\u201d indicava \u201cMeta\u201d.<\/p>\n<\/section>\n\n\n\n<h3 class=\"wp-block-heading\">Teste 1: Corre\u00e7\u00e3o de bug de idempot\u00eancia no Python \u2014 Aprovado<\/h3>\n\n\n\n<article class=\"muse-visual muse-test-case muse-rose\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #e0b8a9;border-left:7px solid #b96549;border-radius:20px;background:linear-gradient(135deg,#fff4ee 0%,#f4ddd3 100%);color:#342a26;font-family:Inter,Arial,sans-serif\" aria-label=\"Resultado do teste de codifica\u00e7\u00e3o de idempot\u00eancia em Python\">\n  <div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:12px;align-items:flex-start\">\n    <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Tarefa<\/span><h3 style=\"margin:4px 0 7px\">Evite transfer\u00eancias duplicadas sem alterar a API p\u00fablica<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O modelo identificou a falta da prote\u00e7\u00e3o do ID da solicita\u00e7\u00e3o, adicionou a corre\u00e7\u00e3o m\u00ednima necess\u00e1ria e forneceu um teste de regress\u00e3o, preservando as atualiza\u00e7\u00f5es at\u00f4micas do balan\u00e7o.<\/p><\/div>\n    <span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35;background:#315b46;color:#fff\">APROVADO \u00b7 6 provas<\/span>\n  <\/div>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(145px,1fr));margin-top:14px\">\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Lat\u00eancia<\/span><strong>12,064 s<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Fichas<\/span><strong>2,867<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Racioc\u00ednio<\/span><strong>1,621<\/strong><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Custo<\/span><strong>$0.01072675<\/strong><\/div>\n  <\/div>\n<\/article>\n\n\n\n<p class=\"wp-block-paragraph\">O avaliador oculto original exigia, incorretamente, uma chamada duplicada para retornar <code>Falso<\/code>, embora a tarefa exigisse apenas que n\u00e3o fosse cobrado duas vezes do remetente. Ap\u00f3s corrigir essa exig\u00eancia inventada relativa ao valor de retorno, a primeira resposta, que permaneceu inalterada, passou em todos os seis testes. N\u00e3o repetimos a tentativa nem editamos a sa\u00edda do modelo.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Teste 2: Refatora\u00e7\u00e3o de v\u00e1rios arquivos em TypeScript \u2014 Aprovado<\/h3>\n\n\n\n<article class=\"muse-visual muse-test-case muse-lavender\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #cdbbd9;border-top:7px solid #806694;border-radius:20px;background:linear-gradient(135deg,#f7f2fa 0%,#e7dced 100%);color:#30283a;font-family:Inter,Arial,sans-serif\" aria-label=\"Resultado do teste de refatora\u00e7\u00e3o de c\u00f3digo em TypeScript\">\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(240px,1fr))\">\n    <div><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Tarefa<\/span><h3 style=\"margin:4px 0 7px\">Separa\u00e7\u00e3o entre valida\u00e7\u00e3o, persist\u00eancia e registro de auditoria<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Os arquivos devolvidos mantiveram o contrato de rota p\u00fablica, o TypeScript estrito e a transa\u00e7\u00e3o \u00fanica que abrange tanto as grava\u00e7\u00f5es de pedidos quanto as de auditoria. Al\u00e9m disso, foram adicionados testes de valida\u00e7\u00e3o espec\u00edficos, sem depend\u00eancia de tempo de execu\u00e7\u00e3o.<\/p><\/div>\n    <div class=\"muse-card muse-card-dark\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#294838;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#fff;background:#294838;color:#fff\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Verifica\u00e7\u00e3o<\/span><strong style=\"display:block;margin:5px 0\">APROVADO<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Verifica\u00e7\u00e3o de tipos, contrato p\u00fablico, verifica\u00e7\u00e3o de transa\u00e7\u00f5es ocultas e testes de valida\u00e7\u00e3o adicionados<\/span><\/div>\n  <\/div>\n  <div style=\"display:flex;flex-wrap:wrap;gap:7px;margin-top:14px\"><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">13,909 s<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">5.011 tokens<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">2.770 racioc\u00ednios<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">$0.01833275<\/span><\/div>\n<\/article>\n\n\n\n<p class=\"wp-block-paragraph\">O primeiro avaliador comparou os objetos com os dados brutos <code>JSON.stringify<\/code>, de modo que objetos equivalentes com ordem de inser\u00e7\u00e3o de chaves diferente pareciam diferentes; seu Windows <code>npx<\/code> A execu\u00e7\u00e3o tamb\u00e9m falhou antes da verifica\u00e7\u00e3o de tipos. Com um comparador que n\u00e3o leva em conta a ordem e uma invoca\u00e7\u00e3o de comando compat\u00edvel com o Windows, a resposta original passou em todas as verifica\u00e7\u00f5es. Mais uma vez, n\u00e3o houve repeti\u00e7\u00e3o do modelo.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Teste 3: Recurso de reposit\u00f3rio JSONL \u2014 Aprovado<\/h3>\n\n\n\n<article class=\"muse-visual muse-test-case muse-gold\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #ddc47f;border-radius:20px;background:linear-gradient(135deg,#fff9e9 0%,#f3e3b9 100%);color:#382f1f;font-family:Inter,Arial,sans-serif;box-shadow:inset 0 0 0 1px #e7d39e\" aria-label=\"Resultado do teste de codifica\u00e7\u00e3o do reposit\u00f3rio JSONL\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Seguimento de instru\u00e7\u00f5es em todo o reposit\u00f3rio<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <div><h3 style=\"margin:0 0 7px\">Adicionar JSONL sem comprometer o CSV<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O modelo implementou detec\u00e7\u00e3o de extens\u00f5es, erros de linha malformada com contagem a partir de 1, sa\u00edda at\u00f4mica, seguran\u00e7a em execu\u00e7\u00e3o simulada, testes direcionados, texto de ajuda e um exemplo no arquivo README.<\/p><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Resultado<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;font-size:25px\">9\/9<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">testes aprovados<\/span><\/div>\n    <div class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Lat\u00eancia<\/span><strong class=\"muse-number\" style=\"display:block;margin:4px 0;font-family:Georgia,serif;font-size:30px;line-height:1;font-size:25px\">12,976 s<\/strong><span class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">primeira tentativa<\/span><\/div>\n  <\/div>\n  <div style=\"margin-top:12px\"><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">4.222 tokens<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">2.227 racioc\u00ednios<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">$0.0163025<\/span><\/div>\n<\/article>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>O que os exames revelam:<\/strong> O Muse Spark 1.2 \u00e9 capaz de gerar patches utiliz\u00e1veis para v\u00e1rios arquivos, respeitar restri\u00e7\u00f5es de compatibilidade, adicionar testes e lidar com um recurso de escopo moderado em todo o reposit\u00f3rio em uma \u00fanica execu\u00e7\u00e3o. O custo m\u00e9dio relatado foi de cerca de $0,0151 por tarefa, mas esses casos de teste eram pequenos e n\u00e3o devem ser usados para estimar o custo de uma base de c\u00f3digo de grande porte.<\/p>\n\n\n\n<aside class=\"muse-visual muse-callout\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border-left:6px solid #d57d5d;border-radius:0 20px 20px 0;background:#fff1e9;color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Limites do teste de codifica\u00e7\u00e3o\">\n  <p><strong>Limite do escopo:<\/strong> Este foi um teste do modelo b\u00e1sico com tr\u00eas tarefas, e n\u00e3o uma execu\u00e7\u00e3o do agente Muse Code. N\u00e3o medimos a navega\u00e7\u00e3o no terminal, as \u00e1rvores de trabalho, os subagentes, os ciclos de reparo de longa dura\u00e7\u00e3o, os limites de taxa nem a precis\u00e3o de chamadas repetidas de ferramentas.<\/p>\n<\/aside>\n\n\n\n<h2 id=\"who-should-use-muse-spark-1-2\" class=\"wp-block-heading\">Quem deve usar o Muse Spark 1.2?<\/h2>\n\n\n\n<section class=\"muse-visual muse-audience muse-sage\" style=\"box-sizing:border-box;margin:28px 0;padding:22px;border:1px solid #bfd3c5;border-radius:22px;background:linear-gradient(135deg,#edf5ef 0%,#d6e7da 100%);color:#21372c;font-family:Inter,Arial,sans-serif\" aria-label=\"Muse Spark 1.2: adequa\u00e7\u00e3o ao p\u00fablico-alvo\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8\">Guia de decis\u00e3o<\/p>\n  <div class=\"muse-grid\" style=\"display:grid;gap:12px;grid-template-columns:repeat(auto-fit,minmax(180px,1fr))\">\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border-top:5px solid #315b46\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Experimente agora<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Avalia\u00e7\u00e3o controlada<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">C\u00f3digo p\u00fablico ou sint\u00e9tico, tarefas mensur\u00e1veis, necessidades em contextos amplos e um resultado promissor de 3\/3 no modelo b\u00e1sico.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border-top:5px solid #c58a37\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Espere<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">\u00c9 necess\u00e1rio comprovar a identidade do agente<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">O comportamento do Muse Code, limites de taxa est\u00e1veis, chamadas repetidas \u00e0 ferramenta ou benchmarks abrangentes do reposit\u00f3rio s\u00e3o crit\u00e9rios decis\u00f3rios.<\/p><\/article>\n    <article class=\"muse-card\" style=\"min-width:0;border:1px solid rgba(52,76,63,.16);border-radius:16px;background:#fff;padding:18px;box-shadow:0 10px 28px rgba(34,52,42,.08);color:#21372c;border-top:5px solid #b96549\"><span class=\"muse-label\" style=\"display:block;font-size:10px;font-weight:800;letter-spacing:.08em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.76\">Compare primeiro<\/span><h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">C\u00f3digo sens\u00edvel ou alto rendimento<\/h3><p class=\"muse-small\" style=\"font-size:13px;line-height:1.55;color:inherit;opacity:.82\">Utilize o n\u00edvel padr\u00e3o ou compare alternativas quando a privacidade e o custo dos tokens de racioc\u00ednio forem fatores determinantes.<\/p><\/article>\n  <\/div>\n<\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Utilize o modelo padr\u00e3o para c\u00f3digos confidenciais, a menos que sua organiza\u00e7\u00e3o tenha aprovado separadamente os termos do Contribuinte. Se o pre\u00e7o de sa\u00edda padr\u00e3o alterar o c\u00e1lculo do valor, compare-o com o valor atual <a href=\"https:\/\/www.glbgpt.com\/hub\/codex-pricing\/\">Pre\u00e7os do Codex<\/a>, o c\u00f3digo Claude e outros custos relacionados a agentes de codifica\u00e7\u00e3o antes de definir um fluxo de trabalho.<\/p>\n\n\n\n<h2 id=\"muse-spark-1-2-verdict\" class=\"wp-block-heading\">Veredicto da an\u00e1lise do Muse Spark 1.2<\/h2>\n\n\n\n<aside class=\"muse-visual muse-verdict muse-dark\" style=\"box-sizing:border-box;margin:28px 0;padding:24px;border:1px solid #3e6553;border-radius:22px;background:linear-gradient(135deg,#203f32 0%,#315846 100%);color:#f8f4ec;font-family:Inter,Arial,sans-serif\" aria-label=\"Avalia\u00e7\u00e3o do Muse Spark 1.2\">\n  <p class=\"muse-kicker\" style=\"margin:0 0 8px;font-size:11px;font-weight:800;letter-spacing:.12em;line-height:1.35;text-transform:uppercase;color:inherit;opacity:.8;color:#efb59a\">Conclus\u00e3o<\/p>\n  <p style=\"margin:0;font-family:Georgia,'Times New Roman',serif;font-size:24px;line-height:1.35\"><strong>Inclua-o na lista de candidatos para um teste controlado. O resultado do modelo b\u00e1sico 3\/3 \u00e9 animador, mas n\u00e3o substitui seus pr\u00f3prios dados sobre o reposit\u00f3rio, o agente e a confiabilidade das ferramentas.<\/strong><\/p>\n  <p style=\"margin:14px 0 0\"><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">3\/3 tarefas de programa\u00e7\u00e3o conclu\u00eddas com sucesso<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Sinal de valor forte<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">1M contexto<\/span><span class=\"muse-chip\" style=\"display:inline-flex;align-items:center;margin:3px 5px 3px 0;padding:6px 10px;border-radius:999px;background:#e2ece5;color:#294838;font-size:11px;font-weight:750;line-height:1.35\">Prova do agente incompleta<\/span><\/p>\n<\/aside>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>O Muse Spark 1.2 conquistou um lugar na lista de finalistas da avalia\u00e7\u00e3o, mas n\u00e3o uma recomenda\u00e7\u00e3o autom\u00e1tica para produ\u00e7\u00e3o.<\/strong> O contexto do token 1M, o formato familiar da API, os pre\u00e7os acess\u00edveis para colaboradores, as tr\u00eas tentativas de codifica\u00e7\u00e3o na primeira tentativa e as excelentes pontua\u00e7\u00f5es do Muse Code na avalia\u00e7\u00e3o da Meta tornam dif\u00edcil ignor\u00e1-lo. A Meta tamb\u00e9m se saiu melhor do que muitos outros lan\u00e7amentos ao divulgar detalhes da metodologia.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As ressalvas s\u00e3o igualmente concretas. O pre\u00e7o para colaboradores envolve uma compensa\u00e7\u00e3o em rela\u00e7\u00e3o ao uso de dados. Os tokens padr\u00e3o de sa\u00edda e de racioc\u00ednio podem elevar o custo real. Os principais n\u00fameros de codifica\u00e7\u00e3o da Meta n\u00e3o foram reproduzidos como entradas correspondentes nos quadros p\u00fablicos do Terminal-Bench ou do DeepSWE, e nossa amostra pr\u00e1tica abrange tr\u00eas tarefas do modelo b\u00e1sico, em vez da execu\u00e7\u00e3o do agente Muse Code.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A medida mais sensata \u00e9 realizar um teste controlado em c\u00f3digo n\u00e3o confidencial, com os dados brutos de uso e a verifica\u00e7\u00e3o local salvos. Considere o custo e a lat\u00eancia medidos como uma amostra de tarefas pequenas e, em seguida, teste o tamanho do seu pr\u00f3prio reposit\u00f3rio, a recupera\u00e7\u00e3o de falhas e o fluxo de trabalho do agente antes de optar por utiliz\u00e1-lo em produ\u00e7\u00e3o.<\/p>\n\n\n\n<h2 id=\"muse-spark-1-2-faq\" class=\"wp-block-heading\">Perguntas frequentes sobre o Muse Spark 1.2<\/h2>\n\n\n\n<section class=\"muse-faq\" aria-label=\"Perguntas frequentes sobre o Muse Spark 1.2\">\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">O que \u00e9 o Muse Spark 1.2?<\/h3>\n    <p>O Muse Spark 1.2 \u00e9 o modelo da Meta voltado para programa\u00e7\u00e3o, lan\u00e7ado em 5 de agosto de 2026, com uma janela de contexto de 1 milh\u00e3o de tokens e acesso por meio do Muse Code, da API do Meta Model e do OpenRouter.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">O Muse Spark 1.2 \u00e9 o mesmo que o Muse Code?<\/h3>\n    <p>N\u00e3o. O Muse Spark 1.2 \u00e9 o modelo; o Muse Code \u00e9 um agente de terminal beta independente que funciona com base nele. O Muse Code adiciona recursos ao produto, como subagentes, \u00e1rvores de trabalho isoladas do Git, registro de eventos, retomada e habilidades integradas.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Quanto custa a API do Muse Spark 1.2?<\/h3>\n    <p>O modelo padr\u00e3o custa $1,25 de entrada, $0,15 de entrada em cache e $4,25 de sa\u00edda por milh\u00e3o de tokens. O modelo Contributor custa $0,10 de entrada, $0,002 de entrada em cache e $0,20 de sa\u00edda.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">A Meta utiliza dados da API do Muse Spark para treinamento?<\/h3>\n    <p>A Meta afirma que os dados do n\u00edvel padr\u00e3o n\u00e3o s\u00e3o utilizados para aprimorar os produtos da Meta. Os dados do n\u00edvel \u201ccolaborador\u201d podem ser utilizados para aprimorar os produtos da Meta; portanto, c\u00f3digos privados ou propriet\u00e1rios devem seguir a rota padr\u00e3o, a menos que uma organiza\u00e7\u00e3o aprove o contr\u00e1rio.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">O Muse Spark 1.2 est\u00e1 nas tabelas de classifica\u00e7\u00e3o p\u00fablicas do Terminal-Bench ou do DeepSWE?<\/h3>\n    <p>N\u00e3o constava em nenhum dos f\u00f3runs p\u00fablicos quando verificado em 7 de agosto de 2026. A Meta relata 82,91 TP40T no Terminal-Bench 2.1 com o Muse Code e 59,31 TP40T no DeepSWE, mas esses s\u00e3o resultados obtidos pela pr\u00f3pria Meta.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">O Muse Spark 1.2 foi testado na pr\u00e1tica nesta an\u00e1lise?<\/h3>\n    <p>Sim. Em tr\u00eas testes com o modelo b\u00e1sico, realizados em uma \u00fanica tentativa, o Muse Spark 1.2 foi aprovado em uma corre\u00e7\u00e3o de bug em Python, uma refatora\u00e7\u00e3o em TypeScript e um recurso de reposit\u00f3rio JSONL. A lat\u00eancia m\u00e9dia foi de 12,98 segundos e o custo total relatado foi de $0,045362. A confiabilidade do agente Muse Code e das chamadas de ferramentas n\u00e3o foi testada.<\/p>\n  <\/div>\n  <div class=\"muse-faq-item\">\n    <h3 style=\"margin:0 0 7px;color:inherit;font-size:20px;line-height:1.25\">Como os desenvolvedores podem acessar o Muse Spark 1.2?<\/h3>\n    <p>A Meta lista tr\u00eas op\u00e7\u00f5es: o agente de terminal do Muse Code (vers\u00e3o beta), a API do Meta Model e o OpenRouter. O guia oficial utiliza um cliente compat\u00edvel com o SDK OpenAI, cuja URL base \u00e9 https:\/\/api.meta.ai\/v1.<\/p>\n  <\/div>\n<\/section>\n\n\n\n<script type=\"application\/ld+json\" class=\"muse-faq-schema\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"What is Muse Spark 1.2?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Muse Spark 1.2 is Meta\\u2019s coding-focused model, launched on August 5, 2026, with a 1M-token context window and access through Muse Code, the Meta Model API, and OpenRouter.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is Muse Spark 1.2 the same as Muse Code?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. Muse Spark 1.2 is the model; Muse Code is a separate beta terminal agent powered by it. Muse Code adds product features such as subagents, isolated git worktrees, event logging, resume, and bundled skills.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How much does the Muse Spark 1.2 API cost?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"The standard model costs $1.25 input, $0.15 cached input, and $4.25 output per million tokens. The Contributor model costs $0.10 input, $0.002 cached input, and $0.20 output.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does Meta use Muse Spark API data for training?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Meta says standard-tier data is not used to improve Meta products. Contributor-tier data may be used to improve Meta products, so private or proprietary code should use the standard route unless an organization approves otherwise.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is Muse Spark 1.2 on the public Terminal-Bench or DeepSWE leaderboards?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"It was not listed on either public board when checked on August 7, 2026. Meta reports 82.9% on Terminal-Bench 2.1 with Muse Code and 59.3% on DeepSWE, but those are Meta-run results.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Has Muse Spark 1.2 been tested hands-on in this review?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Yes. In three single-attempt base-model tests, Muse Spark 1.2 passed a Python bug fix, a TypeScript refactor, and a JSONL repository feature. Average latency was 12.98 seconds and total reported cost was $0.045362. Muse Code agent and tool-call reliability were not tested.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How can developers access Muse Spark 1.2?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Meta lists three routes: the Muse Code beta terminal agent, the Meta Model API, and OpenRouter. The official cookbook uses an OpenAI SDK-compatible client with the base URL https:\\\/\\\/api.meta.ai\\\/v1.\"\n            }\n        }\n    ]\n}<\/script>","protected":false},"excerpt":{"rendered":"<p>Muse Spark 1.2 combines unusually low token pricing with a 1M-token context window, and it passed all three base-model coding tasks in our first-attempt API suite. Meta launched the model on August 5, 2026, with a 1 million tokens context window, two API pricing tiers, and a separate terminal agent called Muse Code. Meta\u2019s benchmark [&hellip;]<\/p>","protected":false},"author":16,"featured_media":17874,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Muse Spark 1.2 Review: API Pricing, Benchmarks & Tests","_seopress_titles_desc":"Is Muse Spark 1.2 worth using? Compare Meta benchmarks, API prices, privacy trade-offs, and our 3\/3 coding-test result with real cost data.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-17870","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/17870","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/comments?post=17870"}],"version-history":[{"count":6,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/17870\/revisions"}],"predecessor-version":[{"id":18504,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/17870\/revisions\/18504"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media\/17874"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media?parent=17870"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/categories?post=17870"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/tags?post=17870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}