{"id":6673,"date":"2026-06-23T14:30:20","date_gmt":"2026-06-23T09:30:20","guid":{"rendered":"https:\/\/cifrum.kz\/ai-kings-google-unveils-gemini-2-5-pro-with-deep-think-mode-and-2m-context-window\/"},"modified":"2026-06-23T14:30:20","modified_gmt":"2026-06-23T09:30:20","slug":"ai-kings-google-unveils-gemini-2-5-pro-with-deep-think-mode-and-2m-context-window","status":"publish","type":"post","link":"https:\/\/cifrum.kz\/en\/ai-kings-google-unveils-gemini-2-5-pro-with-deep-think-mode-and-2m-context-window\/","title":{"rendered":"AI KINGS: Google Unveils Gemini 2.5 Pro with &#8220;Deep Think&#8221; Mode and 2M Context Window"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>MOUNTAIN VIEW, CA<\/strong> \u2014 Google has officially released its most powerful AI model to date: <strong>Gemini 2.5 Pro<\/strong>. The standout feature is the new <strong>Deep Think<\/strong> reasoning mode, which allows the neural network to spend significantly more compute time on complex problems before generating a response.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">New Performance Records<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">According to published benchmarks, Gemini 2.5 Pro has set new industry standards, surpassing competitors from OpenAI and Anthropic in key technical disciplines:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>MMLU-Pro (General Knowledge):<\/strong> 89.8% \u2014 the highest score of any publicly available model.<\/li>\n<li><strong>GPQA Diamond (Graduate-level Science):<\/strong> 82.4% \u2014 beating Fable 5 (79.1%) and GPT-5.5 (76.3%).<\/li>\n<li><strong>HumanEval+ (Coding):<\/strong> 94.1% \u2014 the highest result ever recorded in testing history.<\/li>\n<li><strong>MATH-500:<\/strong> 97.2% \u2014 near-perfect accuracy on advanced mathematical problems.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">2 Million Token Context Window<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Another headline-grabbing feature is the doubling of the context window to <strong>2 million tokens<\/strong>. This means the model can ingest and reason over entire codebases, full-length books, hours of high-definition video, or months of conversation history in a single session. For enterprise customers, this enables the analysis of massive document corpora without the need for manual chunking.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Deep Think Works<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Deep Think is Google\u2019s answer to the &#8220;thinking&#8221; models shipped by rivals. Instead of responding instantly, the model decomposes problems, explores multiple reasoning paths, and verifies its own logic before producing an answer. Google claims Deep Think improves accuracy on complex multi-step problems by 15\u201325%, although response times can be 3\u20135x longer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The model is available immediately via the Gemini API, Google AI Studio, and Vertex AI. Consumer-facing features are being rolled out as part of the AI Plus subscription tier.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Source: <a href=\"https:\/\/medium.com\/adi-insights-innovations-collective\/ai-update-monday-june-22-2026-ad347993f9ad\" target=\"_blank\" rel=\"noopener\">Medium \/ DevQuill Insights<\/a>, <a href=\"https:\/\/www.buildfastwithai.com\/blogs\/ai-news-today-june-23-2026\" target=\"_blank\" rel=\"noopener\">Build Fast with AI<\/a><\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>MOUNTAIN VIEW, CA \u2014 Google has officially released its most powerful AI model to date: Gemini 2.5 Pro. The standout [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":6670,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"rank_math_focus_keyword":"","rank_math_title":"","rank_math_description":"","rank_math_canonical_url":"","rank_math_seo_score":"","rank_math_pillar_content":"","rank_math_facebook_title":"","rank_math_facebook_description":"","rank_math_facebook_image":"","rank_math_facebook_image_id":"","rank_math_twitter_title":"","rank_math_twitter_description":"","rank_math_twitter_image":"","rank_math_twitter_image_id":"","rank_math_news_sitemap_genre":"","rank_math_news_sitemap_keywords":"","rank_math_news_sitemap_stock_tickers":"","rank_math_robots":"","rank_math_advanced_robots":"","rank_math_schema_News":"","footnotes":""},"categories":[1660],"tags":[],"cifrum_os_content_type":[],"class_list":["post-6673","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nauka"],"acf":[],"_links":{"self":[{"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/posts\/6673","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/comments?post=6673"}],"version-history":[{"count":0,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/posts\/6673\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/media\/6670"}],"wp:attachment":[{"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/media?parent=6673"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/categories?post=6673"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/tags?post=6673"},{"taxonomy":"cifrum_os_content_type","embeddable":true,"href":"https:\/\/cifrum.kz\/en\/wp-json\/wp\/v2\/cifrum_os_content_type?post=6673"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}