{"id":19748,"date":"2026-09-24T05:09:31","date_gmt":"2026-09-24T09:09:31","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=19748"},"modified":"2026-09-28T12:06:25","modified_gmt":"2026-09-28T16:06:25","slug":"claude-opus-5-5-vs-opus-5-vs-fable-5-1","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/pt-br\/hub\/claude-opus-5-5-vs-opus-5-vs-fable-5-1","title":{"rendered":"Claude Opus 5.5 x Opus 5 x Fable 5.1: Testes reais"},"content":{"rendered":"<p class=\"wp-block-paragraph\">A linha atual de produtos Anthropic e Claude torna uma compara\u00e7\u00e3o simples de pre\u00e7os enganosa. Esta an\u00e1lise submete o Claude Opus 5.5, o Claude Opus 5 e o Claude Fable 5.1 \u00e0s mesmas cinco instru\u00e7\u00f5es e relata o resultado da tarefa, o tempo decorrido local, o uso de tokens relatado pela rota e os limites de cada observa\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A diferen\u00e7a pr\u00e1tica fica evidente nos cart\u00f5es de tarefas.<\/strong> O Opus 5.5 foi o mais r\u00e1pido e o mais barato entre os programas testados; o Fable 5.1 produziu o menor n\u00famero de tokens de sa\u00edda e a resposta mais limpa no formato chin\u00eas; o Opus 5 foi o que levou mais tempo, enquanto o Opus 5.5 utilizou o maior n\u00famero de tokens de sa\u00edda. A ficha de codifica\u00e7\u00e3o acrescenta uma observa\u00e7\u00e3o importante: uma sa\u00edda mais curta n\u00e3o significava automaticamente uma sa\u00edda melhor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Copiamos as cinco solicita\u00e7\u00f5es da an\u00e1lise anterior do Claude Opus 5.5 e executamos cada uma delas uma vez para cada modelo. As configura\u00e7\u00f5es das solicita\u00e7\u00f5es eram id\u00eanticas: limite m\u00e1ximo de 8.192 tokens, alto n\u00edvel de esfor\u00e7o, uma mensagem do usu\u00e1rio e sem uso de ferramentas. A resposta retornou um c\u00f3digo HTTP 200 e <code>fim_do_turno<\/code> para todas as 15 solicita\u00e7\u00f5es.<\/p>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-large\"><img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"636\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-1024x636.png\" class=\"wp-image-19921\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-1024x636.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-300x186.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-767x477.png 767w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-1536x955.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5-18x11.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/07\/claude-opus-5-5.jpg 1897w\" 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 is-style-fill\"><a class=\"wp-block-button__link has-luminous-vivid-amber-to-luminous-vivid-orange-gradient-background has-background wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/claude-opus-5-5?inviter=hub_claude55&amp;login=1\"><strong>Experimente agora o Cluade Opus 5.5 no GlobalGPT<\/strong><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-quick\" id=\"quick-answer\" style=\"margin:24px 0;padding:22px 25px;border:1px solid #dfe5ef;border-radius:16px;background:#f4f2ff;border-left:6px solid #635bdb;\"><h2 style=\"margin:54px 0 14px;padding-left:14px;border-left:5px solid #635bdb;font-size:30px;line-height:1.2;margin:0 0 10px;padding:0;border:0;font-size:24px;\">Resposta r\u00e1pida<\/h2><ul><li style=\"margin:7px 0;\"><strong>O mais r\u00e1pido neste conjunto de cinco tarefas:<\/strong> O Claude Opus 5.5 levou 47,725 segundos de tempo local de ponta a ponta em cinco solicita\u00e7\u00f5es sequenciais. O Claude Fable 5.1 levou 53,290 segundos, e o Claude Opus 5 levou 61,470 segundos.<\/li><li style=\"margin:7px 0;\"><strong>Estimativa do menor pre\u00e7o de tabela:<\/strong> O Opus 5.5 atingiu aproximadamente $0,0818 para as cinco solicita\u00e7\u00f5es \u00e0s taxas oficiais de tokens, seguido pelo Opus 5 com $0,0962 e pelo Fable 5.1 com $0,1415. Essas s\u00e3o estimativas aritm\u00e9ticas, n\u00e3o taxas cobradas pela plataforma.<\/li><li style=\"margin:7px 0;\"><strong>Resultado de qualidade:<\/strong> Todos os tr\u00eas retornaram uma extra\u00e7\u00e3o de cinco balas com base no texto, um JSON analis\u00e1vel e a resposta matem\u00e1tica correta. Os resultados da codifica\u00e7\u00e3o diferiram no tratamento de casos extremos, enquanto o Fable 5.1 seguiu de forma mais clara as instru\u00e7\u00f5es de dois par\u00e1grafos no formato chin\u00eas.<\/li><li style=\"margin:7px 0;\"><strong>Observa\u00e7\u00e3o sobre a API:<\/strong> O Opus 5.5 n\u00e3o \u00e9 uma atualiza\u00e7\u00e3o direta para todas as integra\u00e7\u00f5es do Opus 5. Seu guia de migra\u00e7\u00e3o indica que o recurso \u201cthinking\u201d n\u00e3o pode ser desativado e que algumas ferramentas ou padr\u00f5es de \u201cthinking\u201d mais antigos precisam ser alterados.<\/li><li style=\"margin:7px 0;\"><strong>N\u00e3o d\u00ea demasiada import\u00e2ncia ao ranking:<\/strong> Trata-se de uma execu\u00e7\u00e3o correspondente por tarefa em uma rota. Ela mede o comportamento concreto, o tempo decorrido e o uso relatado, e n\u00e3o uma pontua\u00e7\u00e3o de modelo universal.<\/li><\/ul><\/section><\/div>\n\n\n\n<h2 id=\"specs\" class=\"wp-block-heading\">Quanto custam e quais s\u00e3o as caracter\u00edsticas dos tr\u00eas modelos<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As tr\u00eas APIs compartilham uma janela de contexto de 1 milh\u00e3o de tokens e uma sa\u00edda m\u00e1xima de 128 mil, conforme consta na documenta\u00e7\u00e3o atual do modelo Anthropic. Suas unidades de cobran\u00e7a e status diferem: o Opus 5.5 \u00e9 a vers\u00e3o mais recente da rota Opus, o Opus 5 \u00e9 classificado como legado e o Fable 5.1 apresenta a taxa padr\u00e3o mais alta de entrada\/sa\u00edda.<\/p>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Status oficial<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">ID do modelo da API<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Entrada \/ sa\u00edda<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Contexto \/ pot\u00eancia m\u00e1xima<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Esfor\u00e7o padr\u00e3o<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Leitura do cache<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Mais recentes<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><code style=\"padding:2px 6px;border-radius:5px;background:#eef1f7;color:#293657;\">claude-opus-5-5<\/code><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">$4 \/ $20 por MTok<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">1M \/ 128K<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">M\u00e9dio<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">$0.20 \/ MTok<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Ativo, antigo<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><code style=\"padding:2px 6px;border-radius:5px;background:#eef1f7;color:#293657;\">claude-opus-5<\/code><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">$5 \/ $25 por MTok<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">1M \/ 128K<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Alto<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">$0,50 \/ MTok<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Mais recentes<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><code style=\"padding:2px 6px;border-radius:5px;background:#eef1f7;color:#293657;\">claude-f\u00e1bula-5-1<\/code><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">$10 \/ $50 por MTok<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">1M \/ 128K<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Alto<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">$0,25 \/ MTok<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Para um exemplo simples sem cache, 100.000 tokens de entrada mais 20.000 tokens de sa\u00edda custam $0,80 no Opus 5.5, $1,00 no Opus 5 e $2,00 no Fable 5.1, de acordo com as tarifas listadas. O Fable 5.1 tem uma taxa de leitura de cache menor do que o Opus 5; portanto, cargas de trabalho de agentes que utilizam intensamente o cache precisam de um c\u00e1lculo separado.<\/p>\n\n\n\n<h2 id=\"official-performance\" class=\"wp-block-heading\">O que mostra a tabela oficial de refer\u00eancia<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic\u2019s <a href=\"https:\/\/www.anthropic.com\/claude-opus-5-5\">An\u00fancio do Claude Opus 5.5<\/a> coloca os tr\u00eas modelos na mesma tabela comparativa de provedores. O Opus 5.5 lidera as linhas listadas, mas esses s\u00e3o resultados relatados pelos provedores com conjuntos de testes e configura\u00e7\u00f5es de esfor\u00e7o espec\u00edficos para cada benchmark. O pr\u00f3prio an\u00fancio alerta que margens estreitas nos benchmarks s\u00e3o um indicador menos confi\u00e1vel das diferen\u00e7as no mundo real nesse n\u00edvel de capacidade.<\/p>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Avalia\u00e7\u00e3o comparativa de provedores<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Opus 5.5<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Fable 5.1<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Opus 5<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">O que ele mede<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Terminal-Bench 4.0<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>66.4%<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">55.8%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">52.3%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Programa\u00e7\u00e3o de linha de comando com Agentic<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">FrontierCode v1.1<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>54.4%<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">50.3%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">48.0%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Se as altera\u00e7\u00f5es no c\u00f3digo do agente seriam incorporadas<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">CursorBench 4.0<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>57.8%<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">51.8%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">46.6%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Tarefas amb\u00edguas de codifica\u00e7\u00e3o de v\u00e1rios arquivos<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">GDPval-AA v2.1<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>1846<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">1735<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">1708<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Trabalho de conhecimento profissional em 44 ocupa\u00e7\u00f5es<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">AutomationBench<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>40.0%<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">31.4%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">26.9%<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Fluxos de trabalho empresariais de ponta a ponta<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">O \u00faltimo exame da humanidade<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>67.7%<\/strong> com ferramentas<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">65,61 TP40T com ferramentas<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">63,61 TP40T com ferramentas<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Racioc\u00ednio multidisciplinar<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">OSWorld 2.0<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>81.8%<\/strong> parcial<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">80,71 TP40T parcial<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">74,01 TP40T parcial<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Tarefas que envolvem o uso do computador<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A tabela \u00e9 \u00fatil para identificar a fronteira de desempenho declarada pelo provedor. Ela n\u00e3o substitui os cart\u00f5es correspondentes apresentados abaixo: nosso teste utiliza prompts curtos de uma \u00fanica rodada, alto n\u00edvel de esfor\u00e7o, sem uso de ferramentas e uma rota controlada por terceiros.<\/p>\n\n\n\n<h2 id=\"matched-test\" class=\"wp-block-heading\">Mesmas instru\u00e7\u00f5es, mesmas configura\u00e7\u00f5es de solicita\u00e7\u00e3o<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Copiamos as cinco solicita\u00e7\u00f5es do pacote de testes anterior do Opus 5.5 e enviamos cada uma delas uma vez para cada modelo. O cliente alternou a ordem dos modelos a cada tarefa, utilizou JSON em UTF-8 e mediu o tempo desde o in\u00edcio da solicita\u00e7\u00e3o at\u00e9 a leitura completa do corpo da resposta. Todas as 15 solicita\u00e7\u00f5es retornaram o c\u00f3digo HTTP 200 e <code>fim_do_turno<\/code>. Para conhecer a fundamenta\u00e7\u00e3o mais ampla e o fluxo de trabalho replic\u00e1vel, consulte <a href=\"https:\/\/www.glbgpt.com\/hub\/how-globalgpt-tests-ai-models\/\">Como o GlobalGPT testa modelos de IA<\/a>.<\/p>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-method\" style=\"margin:24px 0;padding:22px 25px;border:1px solid #dfe5ef;border-radius:16px;background:#f4f2ff;background:#eef6ff;border-color:#cbdcf8;\"><strong>Limite de medi\u00e7\u00e3o:<\/strong> Os tempos abaixo s\u00e3o medi\u00e7\u00f5es locais de rel\u00f3gio de parede de ponta a ponta. Eles incluem a rota e o caminho de rede utilizados neste teste; portanto, n\u00e3o representam a lat\u00eancia do provedor. As contagens de tokens e o \u201cthinking field\u201d s\u00e3o valores informados pela rota. As respostas brutas completas, os hashes de prompt e os metadados da execu\u00e7\u00e3o est\u00e3o armazenados no pacote do editor.<\/div><\/div>\n\n\n\n<h2 id=\"aggregate\" class=\"wp-block-heading\">Compara\u00e7\u00e3o entre tempo e token<\/h2>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Rota<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">5 corridas completadas<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">M\u00e9dia \/ tarefa<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tokens de entrada<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tokens de sa\u00edda<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Pensamento orientado pela rota<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Estimativa do pre\u00e7o de tabela*<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">47,725 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">9,545 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">700<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">3,952<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">2,214<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>$0.0818<\/strong><\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">61,470 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">12,294 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">690<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">3,709<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">1,859<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">$0.0962<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">53,290 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">10,658 s<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">700<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">2,690<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">1,122<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">$0.1415<\/td><\/tr><\/tbody><\/table><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">*Estimativa baseada nos tokens de entrada\/sa\u00edda relatados pela rota e nas taxas padr\u00e3o da API listadas pelo Anthropic. N\u00e3o inclui cobran\u00e7as de cache, cr\u00e9ditos da plataforma, impostos e margem de lucro. O tempo decorrido \u00e9 o tempo real local de ponta a ponta ap\u00f3s o envio da solicita\u00e7\u00e3o, e n\u00e3o a lat\u00eancia do provedor ou os tokens por segundo. \u201cPensamento\u201d \u00e9 um campo de uso relatado pela rota, n\u00e3o um racioc\u00ednio oculto medido de forma independente.<\/p>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-grid\" style=\"display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px;margin:24px 0;grid-template-columns:repeat(auto-fit,minmax(210px,1fr));\"><div class=\"cc-stat\" style=\"padding:18px;border:1px solid #dfe5ef;border-radius:14px;background:#fbfcff;\"><strong style=\"display:block;font-size:28px;color:#635bdb;\">47,725 s<\/strong><span style=\"display:block;color:#64748b;font-size:13px;\">Opus 5.5, hora local total<\/span><\/div><div class=\"cc-stat\" style=\"padding:18px;border:1px solid #dfe5ef;border-radius:14px;background:#fbfcff;\"><strong style=\"display:block;font-size:28px;color:#635bdb;\">2,690<\/strong><span style=\"display:block;color:#64748b;font-size:13px;\">Fable 5.1 tokens de sa\u00edda<\/span><\/div><div class=\"cc-stat\" style=\"padding:18px;border:1px solid #dfe5ef;border-radius:14px;background:#fbfcff;\"><strong style=\"display:block;font-size:28px;color:#635bdb;\">$0.0818<\/strong><span style=\"display:block;color:#64748b;font-size:13px;\">Estimativa do pre\u00e7o de tabela do Opus 5.5 para cinco unidades<\/span><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Os resultados apontam em dire\u00e7\u00f5es diferentes, dependendo da m\u00e9trica. O Opus 5.5 apresentou o tempo total mais r\u00e1pido e o menor custo estimado; o Fable 5.1 gerou o menor n\u00famero de tokens de sa\u00edda; e o Opus 5 teve o tempo total mais lento neste grupo. Uma resposta mais curta n\u00e3o \u00e9 automaticamente a melhor resposta: o cart\u00e3o de codifica\u00e7\u00e3o mostra por que o conte\u00fado de sa\u00edda e o tratamento de casos extremos ainda precisam ser analisados.<\/p>\n\n\n\n<h2 id=\"task-cards\" class=\"wp-block-heading\">Cinco cart\u00f5es de tarefas correspondentes<\/h2>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-task\" id=\"coding-debug\" style=\"margin:28px 0;padding:22px;border:1px solid #dfe5ef;border-radius:18px;background:#fff;box-shadow:0 10px 26px #10182812;\"><div class=\"cc-task-head\" style=\"display:flex;justify-content:space-between;gap:16px;align-items:flex-start;margin-bottom:14px;\"><div><span class=\"cc-task-kicker\" style=\"color:#5c55bd;font-size:11px;font-weight:800;letter-spacing:.08em;text-transform:uppercase;\">Tarefa 01 \u00b7 Depura\u00e7\u00e3o em Python<\/span><h3 style=\"line-height:1.25;margin:3px 0;font-size:23px;\">Os modelos s\u00e3o capazes de corrigir uma fun\u00e7\u00e3o de deduplica\u00e7\u00e3o de tipo misto?<\/h3><\/div><span class=\"cc-pill\" style=\"display:inline-flex;padding:5px 10px;border-radius:999px;background:#eef3ff;color:#334c9f;font-size:12px;font-weight:800;\">Prompt correspondente \u00b7 uma execu\u00e7\u00e3o de cada<\/span><\/div><p style=\"margin:0 0 18px;\"><strong>Configura\u00e7\u00e3o da tarefa:<\/strong> A instru\u00e7\u00e3o exigia uma fun\u00e7\u00e3o corrigida, al\u00e9m de dois testes concisos, compara\u00e7\u00e3o de strings sem distin\u00e7\u00e3o entre mai\u00fasculas e min\u00fasculas, preserva\u00e7\u00e3o da grafia original e que n\u00e3o ocorresse falha ao receber valores que n\u00e3o fossem strings.<\/p><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tempo \/ uso<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Resultado observado<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">15,844 s local \u00b7 145 de entrada \/ 1.478 de sa\u00edda \u00b7 700 pensando \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Utiliza o `casefold` e uma lista como alternativa; sua string de documenta\u00e7\u00e3o indica identidade, enquanto o c\u00f3digo utiliza igualdade.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">16,845 s local \u00b7 143 de entrada \/ 1.109 de sa\u00edda \u00b7 312 pensando \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Adiciona chaves com tags de tipo e um mecanismo de fallback de igualdade, al\u00e9m de apontar a sintaxe inv\u00e1lida do Python em uma \u00fanica linha.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">12,778 s (tempo local) \u00b7 145 de entrada \/ 783 de sa\u00edda \u00b7 0 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Utiliza `repr(item)` para valores n\u00e3o hash\u00e1veis; isso funciona nos exemplos mostrados, mas pode causar conflitos entre tipos.<\/td><\/tr><\/tbody><\/table><\/div><p class=\"cc-observation\" style=\"margin:0 0 18px;margin:14px 0;padding:12px 14px;border-left:4px solid #635bdb;background:#f5f3ff;\"><strong>Resultado da compara\u00e7\u00e3o:<\/strong> O caso extremo \u00e9 uma observa\u00e7\u00e3o no n\u00edvel da tarefa, n\u00e3o uma afirma\u00e7\u00e3o sobre todas as cargas de trabalho de programa\u00e7\u00e3o.<\/p><\/section><\/div>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-task\" id=\"long-context-extract\" style=\"margin:28px 0;padding:22px;border:1px solid #dfe5ef;border-radius:18px;background:#fff;box-shadow:0 10px 26px #10182812;\"><div class=\"cc-task-head\" style=\"display:flex;justify-content:space-between;gap:16px;align-items:flex-start;margin-bottom:14px;\"><div><span class=\"cc-task-kicker\" style=\"color:#5c55bd;font-size:11px;font-weight:800;letter-spacing:.08em;text-transform:uppercase;\">Tarefa 02 \u00b7 Extra\u00e7\u00e3o com aterramento<\/span><h3 style=\"line-height:1.25;margin:3px 0;font-size:23px;\">Os modelos conseguem preservar os cinco fatos fornecidos sem acrescentar afirma\u00e7\u00f5es?<\/h3><\/div><span class=\"cc-pill\" style=\"display:inline-flex;padding:5px 10px;border-radius:999px;background:#eef3ff;color:#334c9f;font-size:12px;font-weight:800;\">Prompt correspondente \u00b7 uma execu\u00e7\u00e3o de cada<\/span><\/div><p style=\"margin:0 0 18px;\"><strong>Configura\u00e7\u00e3o da tarefa:<\/strong> O dado de entrada foi uma breve nota sobre um teste de duas semanas com tr\u00eas assistentes de reda\u00e7\u00e3o. Trata-se de uma tarefa curta de extra\u00e7\u00e3o de informa\u00e7\u00f5es, e n\u00e3o de um teste de desempenho em contexto amplo.<\/p><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tempo \/ uso<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Resultado observado<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">4,374 s local \u00b7 210 de entrada \/ 312 de sa\u00edda \u00b7 101 pensando \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Devolvi cinco balas numeradas e mantive-me dentro dos dados fornecidos; os r\u00f3tulos e a ordem diferiam ligeiramente.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">4,661 s local \u00b7 208 de entrada \/ 265 de sa\u00edda \u00b7 27 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Devolvi cinco balas numeradas e mantive-me dentro dos dados fornecidos; os r\u00f3tulos e a ordem diferiam ligeiramente.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">6,305 s (tempo local) \u00b7 210 na entrada \/ 223 na sa\u00edda \u00b7 0 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Devolvi cinco balas numeradas e mantive-me dentro dos dados fornecidos; os r\u00f3tulos e a ordem diferiam ligeiramente.<\/td><\/tr><\/tbody><\/table><\/div><p class=\"cc-observation\" style=\"margin:0 0 18px;margin:14px 0;padding:12px 14px;border-left:4px solid #635bdb;background:#f5f3ff;\"><strong>Resultado da compara\u00e7\u00e3o:<\/strong> A passagem original era curta; isso verifica a extra\u00e7\u00e3o e a formata\u00e7\u00e3o com base no texto, e n\u00e3o o tratamento de contexto com milh\u00f5es de tokens.<\/p><\/section><\/div>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-task\" id=\"structured-json\" style=\"margin:28px 0;padding:22px;border:1px solid #dfe5ef;border-radius:18px;background:#fff;box-shadow:0 10px 26px #10182812;\"><div class=\"cc-task-head\" style=\"display:flex;justify-content:space-between;gap:16px;align-items:flex-start;margin-bottom:14px;\"><div><span class=\"cc-task-kicker\" style=\"color:#5c55bd;font-size:11px;font-weight:800;letter-spacing:.08em;text-transform:uppercase;\">Tarefa 03 \u00b7 Conformidade com JSON<\/span><h3 style=\"line-height:1.25;margin:3px 0;font-size:23px;\">Os modelos conseguem retornar exatamente a estrutura solicitada?<\/h3><\/div><span class=\"cc-pill\" style=\"display:inline-flex;padding:5px 10px;border-radius:999px;background:#eef3ff;color:#334c9f;font-size:12px;font-weight:800;\">Prompt correspondente \u00b7 uma execu\u00e7\u00e3o de cada<\/span><\/div><p style=\"margin:0 0 18px;\"><strong>Configura\u00e7\u00e3o da tarefa:<\/strong> A instru\u00e7\u00e3o exigia apenas JSON v\u00e1lido, cinco chaves exatas, dois pontos positivos, dois pontos negativos e sequ\u00eancias curtas de caracteres. O conte\u00fado fict\u00edcio da avalia\u00e7\u00e3o n\u00e3o constitui evid\u00eancia sobre nenhum modelo.<\/p><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tempo \/ uso<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Resultado observado<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">8,276 s local \u00b7 128 de entrada \/ 622 de sa\u00edda \u00b7 390 pensando \u00b7 fim_turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Retornou um JSON analis\u00e1vel com as chaves solicitadas e duas vantagens\/duas desvantagens; as afirma\u00e7\u00f5es geradas na avalia\u00e7\u00e3o s\u00e3o texto de teste, n\u00e3o informa\u00e7\u00f5es reais sobre o produto.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">6,344 s local \u00b7 126 de entrada \/ 238 de sa\u00edda \u00b7 0 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Retornou um JSON analis\u00e1vel com as chaves solicitadas e duas vantagens\/duas desvantagens; as afirma\u00e7\u00f5es geradas na avalia\u00e7\u00e3o s\u00e3o texto de teste, n\u00e3o informa\u00e7\u00f5es reais sobre o produto.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">6,626 s local \u00b7 128 de entrada \/ 203 de sa\u00edda \u00b7 0 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Retornou um JSON analis\u00e1vel com as chaves solicitadas e duas vantagens\/duas desvantagens; as afirma\u00e7\u00f5es geradas na avalia\u00e7\u00e3o s\u00e3o texto de teste, n\u00e3o informa\u00e7\u00f5es reais sobre o produto.<\/td><\/tr><\/tbody><\/table><\/div><p class=\"cc-observation\" style=\"margin:0 0 18px;margin:14px 0;padding:12px 14px;border-left:4px solid #635bdb;background:#f5f3ff;\"><strong>Resultado da compara\u00e7\u00e3o:<\/strong> As sequ\u00eancias JSON descrevem uma configura\u00e7\u00e3o fict\u00edcia de avalia\u00e7\u00e3o e n\u00e3o devem ser publicadas como informa\u00e7\u00f5es sobre o produto.<\/p><\/section><\/div>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-task\" id=\"math-reasoning\" style=\"margin:28px 0;padding:22px;border:1px solid #dfe5ef;border-radius:18px;background:#fff;box-shadow:0 10px 26px #10182812;\"><div class=\"cc-task-head\" style=\"display:flex;justify-content:space-between;gap:16px;align-items:flex-start;margin-bottom:14px;\"><div><span class=\"cc-task-kicker\" style=\"color:#5c55bd;font-size:11px;font-weight:800;letter-spacing:.08em;text-transform:uppercase;\">Tarefa 04 \u00b7 Aritm\u00e9tica<\/span><h3 style=\"line-height:1.25;margin:3px 0;font-size:23px;\">Os modelos conseguem aplicar a sequ\u00eancia arredondada de lotes at\u00e9 a resposta final?<\/h3><\/div><span class=\"cc-pill\" style=\"display:inline-flex;padding:5px 10px;border-radius:999px;background:#eef3ff;color:#334c9f;font-size:12px;font-weight:800;\">Prompt correspondente \u00b7 uma execu\u00e7\u00e3o de cada<\/span><\/div><p style=\"margin:0 0 18px;\"><strong>Configura\u00e7\u00e3o da tarefa:<\/strong> A sequ\u00eancia foi 12, seguida de mais 25%, com arredondamento para baixo, distribu\u00edda por quatro lotes.<\/p><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tempo \/ uso<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Resultado observado<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">3,830s local \u00b7 89 de entrada \/ 257 de sa\u00edda \u00b7 74 pensando \u00b7 fim_turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Foram calculados 12, 15, 18, 22 e um total de 67; todos os tr\u00eas resultaram no n\u00famero isolado 67 solicitado.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">5,079 s local \u00b7 87 de entrada \/ 277 de sa\u00edda \u00b7 90 pensando \u00b7 fim_turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Foram calculados 12, 15, 18, 22 e um total de 67; todos os tr\u00eas resultaram no n\u00famero isolado 67 solicitado.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">5,347 s local \u00b7 89 de entrada \/ 127 de sa\u00edda \u00b7 0 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Foram calculados 12, 15, 18, 22 e um total de 67; todos os tr\u00eas resultaram no n\u00famero isolado 67 solicitado.<\/td><\/tr><\/tbody><\/table><\/div><p class=\"cc-observation\" style=\"margin:0 0 18px;margin:14px 0;padding:12px 14px;border-left:4px solid #635bdb;background:#f5f3ff;\"><strong>Resultado da compara\u00e7\u00e3o:<\/strong> Todos os tr\u00eas foram aprovados nessa prova de aritm\u00e9tica; uma \u00fanica prova n\u00e3o \u00e9 suficiente para avaliar a confiabilidade do racioc\u00ednio geral.<\/p><\/section><\/div>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><section class=\"cc-task\" id=\"chinese-seo-outline\" style=\"margin:28px 0;padding:22px;border:1px solid #dfe5ef;border-radius:18px;background:#fff;box-shadow:0 10px 26px #10182812;\"><div class=\"cc-task-head\" style=\"display:flex;justify-content:space-between;gap:16px;align-items:flex-start;margin-bottom:14px;\"><div><span class=\"cc-task-kicker\" style=\"color:#5c55bd;font-size:11px;font-weight:800;letter-spacing:.08em;text-transform:uppercase;\">Tarefa 05 \u00b7 Seguir o formato chin\u00eas<\/span><h3 style=\"line-height:1.25;margin:3px 0;font-size:23px;\">Ser\u00e1 que o roteiro pode manter a estrutura solicitada de dois par\u00e1grafos?<\/h3><\/div><span class=\"cc-pill\" style=\"display:inline-flex;padding:5px 10px;border-radius:999px;background:#eef3ff;color:#334c9f;font-size:12px;font-weight:800;\">Prompt correspondente \u00b7 uma execu\u00e7\u00e3o de cada<\/span><\/div><p style=\"margin:0 0 18px;\"><strong>Configura\u00e7\u00e3o da tarefa:<\/strong> A solicita\u00e7\u00e3o pedia dois par\u00e1grafos em chin\u00eas, com 80 a 120 caracteres chineses cada: uma resposta sobre valores seguida do plano de teste.<\/p><div class=\"cc-table-wrap\" style=\"overflow-x:auto;margin:22px 0;\"><table class=\"cc-table\" style=\"width:100%;border-collapse:collapse;min-width:700px;width:100%;border-collapse:collapse;min-width:650px;\"><thead><tr><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Modelo<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Tempo \/ uso<\/th><th style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#f1f3fa;font-size:13px;\">Resultado observado<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Opus 5,5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">15,401 s (local) \u00b7 128 de entrada \/ 1.283 de sa\u00edda \u00b7 949 de reflex\u00e3o \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Retornei os dois par\u00e1grafos solicitados e, em seguida, adicionei a formata\u00e7\u00e3o em Markdown e uma nota em ingl\u00eas.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\"><strong>Claude Opus 5<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">28,541 s local \u00b7 126 entradas \/ 1.820 sa\u00eddas \u00b7 1.430 pensando \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;background:#fbfcff;\">Recuperei os dois par\u00e1grafos solicitados e, em seguida, acrescentei uma nota em ingl\u00eas ap\u00f3s um separador.<\/td><\/tr><tr><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\"><strong>Claude Fable 5.1<\/strong><\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">22,234 s local \u00b7 128 de entrada \/ 1.354 de sa\u00edda \u00b7 1.122 pensando \u00b7 fim do turno<\/td><td style=\"padding:12px 13px;border:1px solid #dfe5ef;text-align:left;vertical-align:top;\">Retornou dois par\u00e1grafos em chin\u00eas sem erros, sem nenhuma nota adicional ou formata\u00e7\u00e3o em Markdown.<\/td><\/tr><\/tbody><\/table><\/div><p class=\"cc-observation\" style=\"margin:0 0 18px;margin:14px 0;padding:12px 14px;border-left:4px solid #635bdb;background:#f5f3ff;\"><strong>Resultado da compara\u00e7\u00e3o:<\/strong> Isso registra as instru\u00e7\u00f5es ao longo da rota testada; n\u00e3o se trata de um par\u00e2metro de refer\u00eancia de qualidade em chin\u00eas.<\/p><\/section><\/div>\n\n\n\n<h2 id=\"api-caveats\" class=\"wp-block-heading\">Considera\u00e7\u00f5es sobre API e migra\u00e7\u00e3o<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">O Opus 5.5 n\u00e3o \u00e9 uma simples atualiza\u00e7\u00e3o para todas as integra\u00e7\u00f5es do Opus 5. O Anthropic\u2019s <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/opus-5-5\/migration-guide\">guia de migra\u00e7\u00e3o<\/a> afirma que o recurso \u201cthinking\u201d n\u00e3o pode ser desativado no Opus 5.5; solicita que as tentativas de desativar ou ativar manualmente o modo antigo de \u201cthinking\u201d retornem um erro 400. A migra\u00e7\u00e3o tamb\u00e9m altera o uso obrigat\u00f3rio de ferramentas, vincula os blocos de \u201cthinking\u201d ao modelo e \u00e0 conversa e substitui a ferramenta antiga de uso do computador na API Claude e no caminho do Google Cloud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O teste compartilhado utilizado <code>output_config.effort: alto<\/code> para os tr\u00eas modelos, de modo que os resultados das solicita\u00e7\u00f5es fossem mais f\u00e1ceis de comparar. Isso significa que essas execu\u00e7\u00f5es n\u00e3o reproduzem a configura\u00e7\u00e3o padr\u00e3o de esfor\u00e7o de cada modelo. O Fable 5.1 est\u00e1 documentado com o \u201cpensamento adaptativo\u201d sempre ativado e esfor\u00e7o padr\u00e3o alto; o Opus 5.5 est\u00e1 documentado com o \u201cpensamento adaptativo\u201d sempre ativado e esfor\u00e7o padr\u00e3o m\u00e9dio; o Opus 5 utiliza o \u201cpensamento adaptativo\u201d com esfor\u00e7o padr\u00e3o alto.<\/p>\n\n\n\n<h2 id=\"verdict\" class=\"wp-block-heading\">O que esse teste realmente comprova<\/h2>\n\n\n\n<div class=\"claude-compare\" style=\"color:#172033;font:16px\/1.72 Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,Arial,sans-serif;\"><div class=\"cc-verdict\" style=\"margin:24px 0;padding:22px 25px;border:1px solid #dfe5ef;border-radius:16px;background:#f4f2ff;background:#111a36;color:#eff3ff;border:0;\"><h2 style=\"margin:54px 0 14px;padding-left:14px;border-left:5px solid #635bdb;font-size:30px;line-height:1.2;margin:0 0 10px;padding:0;border:0;font-size:24px;color:#fff;\">Veredicto no n\u00edvel da tarefa<\/h2><p style=\"margin:0 0 18px;color:#e8edff;\"><strong>Opus 5.5:<\/strong> o tempo mais r\u00e1pido e o menor custo estimado de pre\u00e7o de tabela neste pacote de cinco tarefas, al\u00e9m de gerar o maior n\u00famero de tokens de sa\u00edda. <strong>Fable 5.1:<\/strong> apresentou a sa\u00edda mais curta no geral e o cumprimento mais rigoroso da restri\u00e7\u00e3o chinesa de dois par\u00e1grafos, mas seu pre\u00e7o por token mais alto fez com que a estimativa de cinco execu\u00e7\u00f5es fosse a mais alta, e seu plano B de codifica\u00e7\u00e3o apresentou um caso de exce\u00e7\u00e3o concreto do tipo \u201ccross\u201d. <strong>Opus 5:<\/strong> Est\u00e1 correto nas tarefas de extra\u00e7\u00e3o, JSON e matem\u00e1tica, mas \u00e9 o mais lento nesta amostra de rota e est\u00e1 marcado como \u201clegado\u201d na documenta\u00e7\u00e3o oficial.<\/p><p style=\"margin:0 0 18px;color:#e8edff;\">Isso \u00e9 suficiente para justificar uma prefer\u00eancia pr\u00e1tica pelo Opus 5.5 nesse percurso testado, mas n\u00e3o o suficiente para afirmar que ele se sai melhor em todas as cargas de trabalho. Repita o teste com diferentes ferramentas, entradas mais longas e v\u00e1rias execu\u00e7\u00f5es antes de considerar o resultado como um benchmark de produ\u00e7\u00e3o.<\/p><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Se voc\u00ea quiser reproduzir a compara\u00e7\u00e3o sem abrir tr\u00eas contas separadas, <a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_popup&amp;login=1\">experimente o fluxo de trabalho de compara\u00e7\u00e3o de modelos no GlobalGPT<\/a>. A rota direta do modelo e o mapeamento do provedor de n\u00edvel superior ainda devem ser verificados separadamente para qualquer decis\u00e3o de produ\u00e7\u00e3o.<\/p>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">PERGUNTAS FREQUENTES<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Qual modelo foi o mais r\u00e1pido no teste comparativo?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">O Claude Opus 5.5 apresentou o menor tempo total decorrido local: 47,725 segundos em cinco solicita\u00e7\u00f5es sequenciais. Trata-se de uma observa\u00e7\u00e3o da rota, e n\u00e3o da lat\u00eancia do lado do provedor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Qual modelo utilizou o menor n\u00famero de tokens de sa\u00edda?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">O Claude Fable 5.1 utilizou 2.690 tokens de sa\u00edda relatados pela rota nas cinco tarefas, em compara\u00e7\u00e3o com 3.709 para o Opus 5 e 3.952 para o Opus 5.5.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Qual modelo foi o mais barato no teste?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Utilizando as taxas oficiais padr\u00e3o da API e as contagens de tokens de entrada\/sa\u00edda retornadas, o Opus 5.5 produziu a estimativa mais baixa para cinco execu\u00e7\u00f5es, no valor de $0,0818. Isso exclui cache, cr\u00e9ditos, impostos e margem de lucro da plataforma.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Todos os tr\u00eas modelos foram aprovados nas mesmas tarefas?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Todos os tr\u00eas retornaram uma extra\u00e7\u00e3o de cinco elementos, em formato JSON analis\u00e1vel, com as chaves solicitadas e o total correto de 67. O c\u00f3digo e os cart\u00f5es no formato chin\u00eas apresentam diferen\u00e7as significativas nos resultados.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Esse foi um teste de desempenho em contexto extenso?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o. O prompt de extra\u00e7\u00e3o reutilizado cont\u00e9m uma passagem curta. Ele avalia a contextualiza\u00e7\u00e3o e a formata\u00e7\u00e3o exata; portanto, n\u00e3o deve ser apresentado como evid\u00eancia do desempenho em contextos de um milh\u00e3o de tokens.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">O Claude Opus 5 ainda est\u00e1 em vigor?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A documenta\u00e7\u00e3o do modelo do Anthropic classifica o Opus 5 como ativo, mas obsoleto, e recomenda considerar o Opus 5.5 para obter melhor desempenho. As integra\u00e7\u00f5es de API existentes devem consultar o guia de migra\u00e7\u00e3o antes de fazer a mudan\u00e7a.<\/p>\n\n\n\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which model was fastest in the matched test?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Claude Opus 5.5 had the lowest total local elapsed time: 47.725 seconds across five sequential requests. This is a route observation, not provider-side latency.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which model used the fewest output tokens?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Claude Fable 5.1 used 2,690 route-reported output tokens across the five tasks, compared with 3,709 for Opus 5 and 3,952 for Opus 5.5.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which model was cheapest in the test?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Using official standard API rates and the returned input\\\/output token counts, Opus 5.5 produced the lowest five-run estimate at $0.0818. This excludes cache, credits, taxes, and platform markup.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Did all three models pass the same tasks?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"All three returned grounded five-bullet extraction, parseable JSON with the requested keys, and the correct total of 67. The coding and Chinese-format cards show meaningful output differences.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Was this a long-context benchmark?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. The reused extraction prompt contains a short passage. It tests grounding and exact formatting, so it should not be presented as evidence of million-token context performance.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is Claude Opus 5 still current?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Anthropic\\u2019s model docs label Opus 5 as active but legacy and recommend considering Opus 5.5 for improved performance. Existing API integrations should review the migration guide before switching.\"\n            }\n        }\n    ]\n}<\/script>\n\n\n\n<p class=\"wp-block-paragraph\">Especifica\u00e7\u00f5es oficiais: <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/opus-5-5\/overview\">Documenta\u00e7\u00e3o do Opus 5.5<\/a>, <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/opus-5\/overview\">Documentos do Opus 5<\/a>, e <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/fable-5-1\/overview\">Documenta\u00e7\u00e3o do Fable 5.1<\/a>. Os valores de refer\u00eancia dos provedores s\u00e3o atribu\u00eddos ao Anthropic; os valores pr\u00e1ticos prov\u00eam do pacote de testes correspondente descrito acima.<\/p>","protected":false},"excerpt":{"rendered":"<p>Claude Opus 5.5 vs Opus 5 vs Fable 5.1: compare pre\u00e7os oficiais, pontua\u00e7\u00f5es em benchmarks, tempo de resposta local, uso de tokens e cinco tarefas de API com o mesmo prompt.<\/p>","protected":false},"author":13,"featured_media":19754,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Claude Opus 5.5 vs Opus 5 vs Fable 5.1: Real Tests","_seopress_titles_desc":"Claude Opus 5.5 vs Opus 5 vs Fable 5.1: compare official prices, benchmark scores, local response time, token use, and five same-prompt API tasks.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-19748","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\/19748","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\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/comments?post=19748"}],"version-history":[{"count":2,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/19748\/revisions"}],"predecessor-version":[{"id":20069,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/19748\/revisions\/20069"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media\/19754"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media?parent=19748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/categories?post=19748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/tags?post=19748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}