\u30bd\u30e92 \u30d7\u30ed,<\/a> Veo 3.1\u2014\u5358\u4e00\u30d7\u30e9\u30f3\u4e0b\u3067\u2014\u7dcf\u30b3\u30b9\u30c8\u3068\u30b5\u30d6\u30b9\u30af\u30ea\u30d7\u30b7\u30e7\u30f3\u7ba1\u7406\u8ca0\u62c5\u3092\u524a\u6e1b\u3059\u308b\u53ef\u80fd\u6027\u3042\u308a\u3002.<\/p>\n\n\n\n<\/p>","protected":false},"excerpt":{"rendered":"
Perplexity\u306e2026\u306e\u4fa1\u683c\u8a2d\u5b9a\u306b\u306f\u3001Free\u30d7\u30e9\u30f3\u3001$20\/\u6708\u306ePro\u30d7\u30e9\u30f3\u3001$200\/\u6708\u306eMax\u30d7\u30e9\u30f3\u300112\u30f6\u6708\u7121\u6599\u306eEducation Pro\u30d7\u30e9\u30f3\u30011\u30b7\u30fc\u30c8\u3042\u305f\u308a$40\u304b\u3089$325\u306eEnterprise\u5c64\u304c\u3042\u308a\u307e\u3059\u3002\u5404\u30d7\u30e9\u30f3\u306b\u306f\u3001\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3068\u30cb\u30fc\u30ba\u306b\u5fdc\u3058\u3066\u3001\u3088\u308a\u591a\u304f\u306e\u30e2\u30c7\u30eb\u30a2\u30af\u30bb\u30b9\u3001\u30d5\u30a1\u30a4\u30eb\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3001\u30ea\u30b5\u30fc\u30c1\u30c4\u30fc\u30eb\u3001\u512a\u5148\u6a5f\u80fd\u304c\u8ffd\u52a0\u3055\u308c\u307e\u3059\u3002\u5b9f\u969b\u3001\u307b\u3068\u3093\u3069\u306e\u30e6\u30fc\u30b6\u30fc\u306f\u8907\u6570\u306eAI\u30e2\u30c7\u30eb\u3092\u5fc5\u8981\u3068\u3057\u3066\u304a\u308a\u3001Perplexity\u306f\u691c\u7d22\u306b\u5f37\u3044\u3082\u306e\u306e\u3001\u30e9\u30a4\u30c6\u30a3\u30f3\u30b0\u3084\u4f5c\u6210\u306b\u306f\u307e\u3060\u30ae\u30e3\u30c3\u30d7\u304c\u3042\u308b\u3002\u305d\u306e\u305f\u3081\u3001\u8907\u6570\u306e\u30c4\u30fc\u30eb\u3092\u4f7f\u7528\u305b\u3056\u308b\u3092\u5f97\u306a\u3044\u3053\u3068\u304c\u591a\u304f\u3001\u3059\u3050\u306b\u30b3\u30b9\u30c8\u304c\u304b\u3055\u3093\u3067\u3057\u307e\u3044\u307e\u3059\u3002GlobalGPT\u306f\u3001\u3059\u3079\u3066\u306e\u4e3b\u8981\u306aAI\u30e2\u30c7\u30eb-Perplexity\u3001GPT-5.2\u3001Claude 4.5\u3001Gemini 3 pro\u3001Sora 2 Pro\u3001Veo 3.1\u3001\u305d\u306e\u4ed6\u591a\u6570-\u3092\u5358\u4e00\u306e\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u306b\u3082\u305f\u3089\u3057\u307e\u3059\u3002\u30c1\u30e3\u30c3\u30c8\u304b\u3089[...]\u307e\u3067\u3001AI\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u3059\u3079\u3066\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002<\/p>","protected":false},"author":7,"featured_media":9183,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"Perplexity Price in 2026: Full Plan and Cost Breakdown - Global GPT","_seopress_titles_desc":"Compare Perplexity\u2019s pricing and capabilities with other AI tools, and learn how its real-time, citation-backed search offers unique value for students, researchers, and professionals. Explore plan differences, use cases, and cost-effectiveness in 2025.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-5561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/5561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/comments?post=5561"}],"version-history":[{"count":9,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/5561\/revisions"}],"predecessor-version":[{"id":9858,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/5561\/revisions\/9858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/media\/9183"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/media?parent=5561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/categories?post=5561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/tags?post=5561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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<\/a><\/figure>\n\n\n\n![\"2025\u5e74\u73fe\u5728\u306ePerplexity\u306e\u6599\u91d1\u30d7\u30e9\u30f3\u306f\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u3067\u3059\u304b\uff1f\"](\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/48956a7c-b666-4f96-bdfd-2dfac92616bd.png\")
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