谷歌Gemini 3 Pro以1501 Elo創LMArena歷史新高，超越GPT-5.1等模型，成多模態模型榜首。在科學、數學及視頻任務中表現卓越，如“人類終極考試”達37.5%，GPQA Diamond 91.9%。Deep Think模式進一步提升推理能力，通用智能測試ARC-AGI-2得分45.1%。
谷歌發佈Gemini3，首次提供100萬tokens上下文窗口，原生支持文本、圖像、視頻與代碼多模態推理。Gemini3 Pro在GPQA測試獲91.9%準確率，LMArena以1501分超越GPT-5.1與Claude4.5登頂。採用Deep Think推理模式，通過“思維簽名”產品化推理鏈，在邏輯、事實與科學推理方面表現突出。
LMArena最新AI編程模型排名顯示，Anthropic的Claude、OpenAI的GPT-5與智譜GLM-4.6並列全球第一。這些專爲編程設計的模型能顯著提升代碼編寫、調試和優化效率，推動軟件開發進步。
文心ERNIE-5.0-Preview-1022模型在LMArena大模型競技場最新排名中，成爲國內文本能力冠軍，全球並列第二。該模型在創意寫作、複雜問題理解等方面表現突出，標誌着中國在大模型技術上取得新突破，展現人工智能發展的強勁潛力。
google
$144
輸入tokens/百萬
$288
輸出tokens/百萬
32k
上下文長度
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
