{"id":47515,"date":"2025-12-18T14:17:22","date_gmt":"2025-12-18T06:17:22","guid":{"rendered":"https:\/\/www.1ai.net\/?p=47515"},"modified":"2025-12-18T14:17:22","modified_gmt":"2025-12-18T06:17:22","slug":"gemini-3-flash-%e6%a8%a1%e5%9e%8b%e5%8f%91%e5%b8%83%ef%bc%8c%e9%83%a8%e5%88%86%e6%b5%8b%e8%af%95%e4%bc%98%e4%ba%8e-gpt-5-2","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/47515.html","title":{"rendered":"Gemini 3 Flash Model Release, partially better than GPT-5.2"},"content":{"rendered":"

December 18th news, this morningGoogle<\/a> Gemini<\/a> 3 Flash was officially released, directly against the flagship models for OpenAI and Anthropic, officially called 2.5 Pro three times faster, with a price cut to one quarter of 3 Pro, and performance not reversed\u3002<\/p>\n

\"ebbe9e7dj00t7gbzk005d000ugxm\"<\/p>\n

\u00a0Starting today, users can experience Gemini 3 Flash (Fast\/Thining) and Gemini 3 Pro in the Gemini product line\u3002<\/strong><\/p>\n

The baseline test results showed that Gemini 3 Flash retained Pro-level reasoning capability but delayed and cost directly down to Flash\u3002<\/p>\n

Specifically, in a doctoral reasoning test like GPQA Diamond, it can get 904%, back and forth with the larger front models. The MMMU Pro test Gemini 3 Flash directly takes 81.2%, reaching the state-of-the-art level of industry, which is comparable to home-based 3Pro performance\u3002<\/p>\n

The data show that the Token consumption of Gemini 3 Flash is 30% less than 2.5 Pro, three times faster, and the price is down to the floor price of the input 0.5\/million Token, and the output of $3\/million Token\u3002<\/p>\n

In addition, Gemini 3 Flash has a bright spot on multi-modular capabilities, which can process visual, audio, etc. more quickly, and link \"see, hear, understand\" into a relatively smooth link, suitable for an interactive scene requiring instant feedback\u3002<\/p>\n

The test results show that Gemini 3 Flash not only fully transcends Gemini 2.5 Pro ' s multi-generational model, but is also able to resist the GPT-5.2 Chamber of OpenAI in several comparisons. The latter is the new model that OpenAI has urgently launched in response to Gemini 3 Pro\u3002<\/p>\n

In a difficult test like Humanity's Last Exam, both parties wereNo external tools such as search<\/strong>I'm not sureLess than 1 percentage point difference<\/strong>.<\/p>\n

Gemini 3 Flash Test, MMMMU-Pro, dedicated to assessing multimodular understanding and reasoning capabilities\u00a081.2% ACHIEVEMENTS<\/strong>79.5% ABOVE GPT-5.2\u3002<\/p>\n

The results show that Gemini 3 Flash in \"Extra High\"GPT-5.2 in Extra High reasoning mode<\/strong>, the competitive pressure on OpenAI cannot be ignored\u3002<\/p>\n

\"c76aba57j00t7gc3q00jwd000v9010dp\"<\/p>\n

ACCORDING TO 1AI, GOOGLE HASUse Gemini 3 Flash as the default model<\/strong>To Gemini App and AI Mode in search. Google stated that the model was open free to users around the world and brought about greater daily AI capabilities\u3002<\/p>\n

In addition, Google AI Mode added a direct access portal to Nano Banana Pro. Users in the U.S. region simply need to enable \"Thining with 3 Pro\" and \"Create Images Pro\" in the Model Selector to generate images in chat interfaces\u3002<\/p>","protected":false},"excerpt":{"rendered":"

In the morning of December 18th, Google Gemini 3 Flash was officially released, with a direct response to the flagship models of OpenAI and Anthropic, officially known as 2.5 Pro three times faster, at a price of one quarter of 3 Pro, without a reversal. Starting today, users can experience Gemini 3 Flash (Fast\/Thining) and Gemini 3 Pro in the Gemini product line. The baseline test results showed that Gemini 3 Flash retained Pro-level reasoning capabilities, but that the delay and cost was directly down to Flash. Specifically, at the G<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[436,281],"collection":[],"class_list":["post-47515","post","type-post","status-publish","format-standard","hentry","category-news","tag-gemini","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/47515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=47515"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/47515\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=47515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=47515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=47515"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=47515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}