雙子座2.5深思熟慮：革新AI基準及以後

Google的Gemini 2.5 Deep Think通過其多代理體系結構為新的AI基准設定了新的基準測試，在解決問題和推理方面表現優於競爭對手。

Gemini 2.5 Deep Think: Revolutionizing AI Benchmarks and Beyond

雙子座2.5深思熟慮：革新AI基準及以後

The AI world is buzzing! Google DeepMind just dropped Gemini 2.5 Deep Think, and it's a game-changer. This model isn't just another incremental update; it's a leap forward in AI reasoning and problem-solving.

人工智能世界正在嗡嗡作響！ Google DeepMind剛剛丟棄了Gemini 2.5 Deep Think，這是一個改變遊戲規則的人。該模型不僅是另一個增量更新；這是AI推理和解決問題的飛躍。

What Makes Gemini 2.5 Deep Think Special?

是什麼使Gemini 2.5 Deep Think Think Think Toving？

Forget linear thinking! Gemini 2.5 Deep Think uses a multi-agent architecture, spawning multiple AI agents to tackle problems in parallel. Think of it as an AI dream team brainstorming ideas simultaneously. This approach yields more comprehensive and optimized results, setting a new standard for AI-driven decision-making.

忘記線性思考！ Gemini 2.5 Deep Think使用多代理架構，並產生多個AI代理並並行解決問題。將其視為同時集思廣益的AI夢團隊。這種方法可產生更全面和優化的結果，為AI驅動的決策樹立了新的標準。

Benchmark Domination

基準統治

The numbers don't lie. In rigorous benchmark tests, Gemini 2.5 Deep Think blew away the competition. It aced 'Humanity’s Last Exam' (HLE), scoring 34.8% against xAI’s Grok 4 (25.4%) and OpenAI’s o3 (20.3%). It also dominated LiveCodeBench6 with a score of 87.6%, surpassing Grok 4 (79%) and o3 (72%). These results highlight its potential in both technical and creative fields. Scoring a gold medal at the International Math Olympiad (IMO) also showcases its exceptional performance in solving complex mathematical problems.

數字不撒謊。在嚴格的基準測試中，Gemini 2.5 Deep Think Think Think吹散了比賽。它獲得了“人類的最後考試”（HLE），對Xai的Grok 4（25.4％）和Openai的O3（20.3％）的得分為34.8％。它還以87.6％的得分統治著LiveCodeBench6，超過了Grok 4（79％）和O3（72％）。這些結果突出了其在技術和創意領域的潛力。在國際數學奧林匹克（IMO）上獲得金牌（IMO）還展示了其在解決複雜的數學問題方面的出色表現。

The Cost of Innovation

創新成本

Such power comes at a price. The computational costs of running multi-agent AI systems are significantly higher than traditional models. That's why access to Gemini 2.5 Deep Think is currently limited to users with the Ultra subscription plan, which costs $250 per month. It’s like needing a souped-up engine to handle all that AI horsepower.

這樣的力量是有代價的。運行多代理AI系統的計算成本明顯高於傳統模型。這就是為什麼訪問Gemini 2.5 Deep Think目前僅限於使用超訂閱計劃的用戶，每月的價格為250美元。這就像需要一個湯的引擎來處理所有AI馬力一樣。

A Glimpse into the Future

瞥見未來

Google plans to expand access to Gemini 2.5 Deep Think via the Gemini API, targeting a select group of testers. This will allow developers and enterprises to explore specialized applications, paving the way for widespread deployment. This model integrates with tools like code execution and Google Search, enabling it to deliver longer and more detailed responses.

Google計劃通過雙子座API擴大對Gemini 2.5深思熟慮的訪問，以精選的測試人員為目標。這將使開發人員和企業能夠探索專業的應用程序，從而為廣泛的部署鋪平道路。該模型與代碼執行和Google搜索之類的工具集成在一起，使其能夠提供更長的詳細響應。

My Take: A Paradigm Shift

我的看法：範式轉變

Gemini 2.5 Deep Think isn't just an upgrade; it's a paradigm shift. The multi-agent approach represents a fundamental change in how AI tackles problems. It's more collaborative, more comprehensive, and ultimately, more effective. While the high computational costs are a barrier to entry for some, the potential benefits in fields like science, technology, and research are enormous. We're witnessing the dawn of a new era in AI, where complex challenges are met with innovative solutions. The fact that other major AI labs, including xAI and OpenAI, are adopting similar multi-agent approaches suggests a broader shift in the industry.

Gemini 2.5 Deep Think不僅僅是升級；這是一個範式轉變。多機構方法代表了AI解決問題的根本變化。它更加協作，更全面，最終更有效。儘管高計算成本是某些人進入的障礙，但科學，技術和研究等領域的潛在收益卻是巨大的。我們目睹了AI的新時代的曙光，在該時代中，具有創新的解決方案面臨著複雜的挑戰。包括XAI和OpenAI在內的其他主要AI實驗室的事實正在採用類似的多機構方法，這表明該行業發生了更大的轉變。

So, buckle up, folks! The future of AI is here, and it's thinking on a whole new level. Who knows what amazing breakthroughs Gemini 2.5 Deep Think will unlock? The possibilities are endless, and I, for one, am excited to see what happens next.

所以，搭扣，伙計們！ AI的未來在這裡，它在一個全新的層面上進行思考。誰知道Gemini 2.5 Deep Think會解鎖什麼驚人的突破？可能性是無窮無盡的，我很高興看到接下來會發生什麼。