Gemini 3.1：小小小小更新壓過對手大迭代，Google卷飛了

市場資訊

02/20

炒股就看金麒麟分析師研報，權威，專業，及時，全面，助您挖掘潛力主題機會！（來源：硅星人）作者｜王兆洋和他的 Kimi 2.5 Agent集群郵箱｜ wangzhaoyang@pingwest.com1Gemini 3.1 來了2026年2月19日，Google發布Gemini 3.1 Pro。這是Google首次以".1"作為版本增量發布Gemini模型——此前的版本迭代均為0.5遞進（...

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href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260220121524a70c3665&s=b\">網頁鏈接</a>\n\n</div>\n\n<div class=\"bt-text\">\n\n\n<p> 來源：<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260220121524a70c3665&s=b\">市場資訊</a></p>\n<p>為提升您的閱讀體驗，我們對本頁面進行了排版優化</p>\n\n\n</div>\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"IE0009356076.USD","symbol_name":"JANUS HENDERSON GLOBAL TECHNOLOGY AND INNOVATION \"A2\" (USD) ACC","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260220121524a70c3665&s=b","article_id":"2612255727","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260220121524a70c3665&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description 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Pro呈現顯著性能提升。ARC-AGI-2測試得分77.1%，較Gemini 3 Pro的31.1%提升超過一倍。在Humanity's Last Exam測試中，Gemini 3.1 Pro得分44.4%，高於Gemini 3 Pro的37.5%和GPT-5.2的34.5%。Artificial Analysis獨立評測顯示：整體智能維度Gemini 3.1 Pro以57分居首，Claude Opus 4.6以53分位列第二；編碼能力Gemini 3.1 Pro以56分排名第一；Agentic任務方面Claude Opus 4.6以68分領先，Gemini 3.1 Pro為59分。訪問渠道已同步開放。開發者可通過Gemini API、Google AI Studio、Gemini CLI、Google Antigravity及Android Studio（預覽版）調用；企業用户可使用Vertex AI和Gemini Enterprise；普通消費者可在Gemini App和NotebookLM中使用，其中Pro和Ultra訂閲用户享有更高額度。此次更新最「嚇人」的地方是，Google一個「超級小」版本的迭代，達到了其他家模型大迭代的效果。當然版本號隨便定，但這個信號背後，Google這樣處理版號策略的調整——從0.5增量改為0.1增量——直接意味着Google將加快模型迭代節奏，以更細粒度的方式推送能力改進。也就是，此前一段時間多少還比較淡定的Google，也要開卷了！1官方給出的驚豔案例：更智能，更美，更全面在官方發布的演示中，四個案例展示了Gemini 3.1 Pro的代碼生成能力。第一個案例是將文學風格轉化為網站設計。系統以《呼嘯山莊》為靈感，假設書中角色是一位風景攝影師，生成了一套完整的個人作品集網站。視覺上，網站採用了與小説氛圍相符的色調和排版，將文學意境直接映射為界面元素。第二個案例是3D椋鳥群飛模擬。用户可以通過界面交互控制鳥群的運動方向，鳥群的飛行動態會實時生成對應的音景，聲音隨鳥群密度和運動狀態變化。這是一個將視覺、交互和音頻整合在一起的完整演示。第三個案例是國際空間站位置可視化。系統生成了一個HTML儀表盤，集成了第三方API獲取的實時數據，在地圖上顯示空間站的當前位置和運行軌跡。這展示了模型處理外部數據接口的能力。第四個案例是動畫SVG生成。模型直接輸出了可在網頁中使用的動畫SVG文件，這種矢量格式可以任意縮放而不損失畫質，適合需要響應式設計的項目。這些案例的共同特點是：它們都是完整的、可直接運行的代碼產物，而非片段或偽代碼。從文學作品到交互模擬，從數據可視化到圖形生成，覆蓋了不同的應用場景。模型在這些任務中的表現如何，讀者可以自行判斷。Gemini 3.1 Pro的技術迭代，體現了一條務實的路徑：在顛覆式重構不太會經常出現後，要追求對現有架構的精細化打磨。架構層面延續了MoE（混合專家）路線，100萬token的上下文窗口和64,000 token的輸出上限維持不變。這個規模在當前的模型梯隊中仍屬頭部，足以支撐長文檔分析、代碼庫理解等場景。真正值得關注的，是推理機制的重構。三層思考模式（Low/Medium/High）的引入，本質上是對\"計算-質量-成本\"三角關係的顯式化管理。Low模式追求響應速度，適合高併發場景；High模式則調用完整推理能力，處理複雜問題可能需要數分鐘——這種設計讓用户能夠根據任務難度主動權衡成本，而非被動接受統一計價。Medium層級的加入填補了此前的空白，為日常任務提供了更經濟的中間選項。同時，Deep Think技術也出現了「下放」，上周Gemini 3 Deep Think在ARC-AGI-2測試中取得84.6%成績所依賴的\"並行思考技術\"，已被整合進基礎模型。這意味着模型能夠同時探索多條解題路徑，再通過內部評估篩選最優解。與此同時，原本用於Flash模型的強化學習技術也被遷移至Pro版本，這種技術棧的橫向打通，比單純的參數堆疊更有價值。幻覺控制方面的進步也很關鍵。AA-Omniscience Index從13分躍升至30分，在主流模型中排名第一。這一指標衡量的是模型對自身知識邊界的認知能力——知道\"不知道什麼\"，比知道\"知道什麼\"更難，也更重要。總體而言，Gemini 3.1 Pro的升級邏輯清晰：不追求單項指標的驚豔，而是在可控成本下，系統性地提升模型的可用性和可靠性。1排行榜之外，更重要是Google也開始捲了Gemini 3.1 Pro發布後，技術社區的聲音呈現出明顯的分化。樂觀派將目光投向了數據。ARC-AGI-2基準77.1%的得分被視為實質性突破——這不僅是上一代31.1%的兩倍以上，也意味着模型在處理全新邏輯模式時的能力躍升。幻覺抗性指標（AA-Omniscience Index）從Gemini 3 Pro的13躍升至30，遠超Claude Opus 4.6的11，這一進步被開發者群體頻繁提及。三層思考模式的設計也受到好評——讓用户根據任務複雜度自主選擇\"快速/深度/深度+\"模式，被認為是對控制權的合理讓渡。但質疑聲同樣值得傾聽。Gartner分析師William McKeon-White的評價代表了一種審慎態度：\"這是好的持續進步，但沒有什麼根本性的遊戲規則改變者。\"華盛頓大學教授Chirag Shah則提出了更深層的問題：更好的推理能力確實是處理複雜任務的必要條件，但並非充分條件——\"更何況，'複雜'本身的定義就不明確。\"LMArena的盲測數據也提供了另一種視角：3.1 Pro相比Gemini 3 Pro的提升幅度有限，在擴展文本和代碼任務上仍落後於Claude。中立觀察者更關注宏觀趨勢。AI模型排行榜被形容為\"搶椅子游戲\"——Claude、Gemini、GPT輪流登頂，每次領先周期只有數周。發布節奏的密集同樣引人注目：Anthropic Sonnet 4.6於2月17日發布，Google Gemini 3.1 Pro緊隨其後於2月19日登場。一個被反覆提及的觀察是：基準分數與真實用户體驗之間存在落差，排行榜上的領先不等於實際工作流中的優勢。其實，相比於在排行榜上幾個小數點的提升，更重要的是Google自己策略的更加激進化。Gemini 3.1 Pro的發布，首先標誌着Google產品策略的微妙轉向。首次採用\".1\"版本號，意味着從過去追求\"大版本震撼\"的發布節奏，轉向更貼近工程實際的持續迭代模式。這種轉變本身説明：AI競賽已進入長跑階段，單次爆發的窗口期正在收窄。在高端推理市場，Google終於拿出了與GPT-5.2和Claude正面交鋒的產品，而其真正的護城河或許不在於模型本身，而在於Cloud和Workspace構成的企業基礎設施——這是OpenAI和Anthropic短期內難以複製的。從行業視角看，推理能力正在成為模型競爭的新高地。Gemini 3.1 Pro與Anthropic的發布時間間隔僅兩天，這種以天為單位的跟進速度，反映出頭部廠商的技術差距正在收窄。更具信號意義的是定價策略：最高性能模型的價格反而更低，這意味着價格戰已從\"性價比競爭\"升級為\"性能溢價消失\"的新階段。Gemini 3.1 Pro定價為$4.50/百萬token（混合價格），低於GPT-5.2的$4.80、Claude Sonnet 4.6的$6和Claude Opus 4.6的$10。API定價分檔：≤200K tokens時輸入$2、輸出$12；>200K tokens時輸入$4、輸出$18。免費用户可直接在Gemini Web UI使用Gemini 3.1 Pro，無需訂閲Gemini Advanced。點個「愛心」，再走 吧","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}