#Agent

Exciting news: Gemini 4 Carbon (High) from @GoogleDeepMind just made a huge debut on Arena, landing #1 in Text Arena, #2 in Agent Arena, and #4 in Code Arena: WebDev. Back at the top, Gemini 4 Carbon delivers frontier intelligence and reshapes the Pareto frontier across three arenas. In Agent Arena, Gemini 4 Carbon ranks #2 with a +16.2% net improvement across +21.9K real-world agentic sessions from our global community, surpassing top models GPT-6 Astra and Fable-5.1. At $1.80 median cost per task, Gemini 4 Carbon (High) costs 72% less than the #1 ranked Claude Opus 5.5 (Max). Its standouts by key signals: - #1 Steerability (+18.6%): can the model course-correct when you push back? - #2 Praise vs Complaint (+37.9%): implicit sentiment in users' reactions - #3 Confirmed Success (+18.7%): explicit “yes, that worked” from users In Code Arena: WebDev, Carbon scored 1768 pts landing #4: - Just 2 pts below #3 Claude Sonnet 5.5 (xHigh), at 1770 pts - 89 pts above #11 Gemini 4 Argon (High), at 1679 pts By category, it ranks #3 in Gaming and Simulations, and #5 in Brand & Marketing. In Text Arena, Gemini 4 Carbon (High) is the new #1 with 1528 pts, now ahead of Gemini 4 Argon (High) at #2 with 1520 pts. Congrats to the @GoogleDeepMind team on this huge milestone!

Gemini 4 Carbon (High) by @GoogleDeepMind landed on the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena! In Agent Arena, it ranks #2 with +16.2% net improvement at $1.80 median cost per task. This is 72% less than #1 Claude Opus 5.5 (Max). Dive into the Agent Arena Pareto, and see where Gemini 4 Carbon (high) landed on the Pareto frontier for Code Arena: WebDev and Text at https://arena.ai/leaderboard/agent/pareto

Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.

GPT-6.1 Terra：以更低的价格提供快速且强大的计算机使用能力。 GPT-6.1 Terra 能理解屏幕上的内容，跨应用执行操作，写作自然流畅，是一个能胜任你整个工作日的更强大模型，并具备承担更多工作的效率。

Big news: @Kimi_Moonshot is back in the top-4 labs in the Code Arena: WebDev with the release of Kimi K3.1 Pro! This model just landed #8 in the Code Arena: WebDev with 1692 pts, matching Claude Opus-5 (Max) at 70% lower cost. This is a 9 place jump (+37 points) from Kimi K3 (Max) at #17 with 1655 pts. Kimi K3.1 Pro improved from Kimi K3 across all categories. Highlights: - #7 in Brand & Marketing (up from #9) - #9 in Simulations (up from #20) Cost efficiency is another upgrade. Priced at $2/$10 per million input/output tokens, Kimi K3.1 Pro (Max) has a median cost per task of $1.23 (29% less than Kimi K3). See its placement compared to the Pareto frontier in thread. With open weights coming soon, Kimi K3.1 Pro would be the new #1 open model in the Code Arena: WebDev, overtaking DeepSeek-v4.1-Flash. Stay tuned! See @Kimi_Moonshot’s ranking by lab, and 3D generations from Kimi K3.1 Pro below in thread. Huge congrats to the @Kimi_Moonshot team on this release!

隆重推出 Kimi K3.1 Pro：我们能力最强的 3T 级开放权重模型。 🔹 1M token 上下文，2.8T 总参数 / 104B 激活参数（MoE），多模态。 🔹 全项目级编程：可在 Unreal、Unity 和 Godot 中开发游戏。 🔹 擅长在 Blender 和 CAD 中进行参数化 3D 建模。 🔹 在金融工作上更可靠：建模准确，幻觉降低 65%。 🔹 在编程、智能体和知识基准测试中，与最强的闭源模型不相上下。 Kimi K3.1 Pro 和 K3.1 Pro Highspeed（快 2–3 倍）现已在 http://Kimi.ai、Kimi Work、Kimi Code 和 Kimi API 上线。 开放权重将于 2026 年 11 月 4 日发布。 🔗 API：http://platform.kimi.ai 🔗 技术博客：http://kimi.ai/blog/kimi-k3-1-pro

minimax m3.1 flash 现已在 together ai 上线 我们很高兴成为该模型（又名 space bunny）的首发日合作伙伴 m3.1 flash 专为智能体任务、编程、计算机使用 + 网络安全而打造，拥有 1m 上下文窗口并支持视觉 立即试用 https://www.together.ai/models/minimax-m3-1-flash

MiniMax M3.1 Flash：太空级性能 + 兔子级速度 🚀🐰 没错，Space Bunny——曾以 200T+ tokens 登顶全球排行榜——正是 M3.1 Flash 的早期版本。 💰重新定义智能体 AI 的性能经济学。M3.1 Flash 在 Cowork（Automation-Bench：62%；ALE：30%）、编程（DeepSWE：74%）和视觉推理（BabyVision：91%）等关键任务上达到前沿级智能水平，成本仅为 M3 的 1/3，速度提升 3 倍。 API 定价（统一费率）：每 1M 输入/输出 tokens 分别为 $0.15 / $0.60，缓存读取为 $0.015 / 1M tokens。 模型权重将于 10 月 23 日发布。 API：http://platform.minimax.io M Plan：https://www.minimax.io/m-plan MiniMax Code 桌面版：https://agent.minimax.io/download

Exciting news: Muse Wonder Full (Max) by @AIatMeta has just debuted in the Code Arena: WebDev at #6 overall with 1726 pts, putting Meta in the top 3 labs! This is +75 pts and 11 places above Muse Wonder (Max) at #17 (1651 pts), and +67 pts and 8 places above Muse Spark 1.3 (Max) at #14 (1659 pts). Muse Wonder Full (#6) also landed +16 pts above Claude Sonnet 5.5 (#17), and +48 pts above Gemini 4 Argon (#10). With this score, Muse took the #3 lab spot (previously held by Google). Across categories, Muse Wonder Full (Max) landed: - #4 in Data & Analytics and in Consumer Product - #5 in Brand & Marketing - #6 in Content Creation Tools - #7 in Gaming and in Simulations - #8 in Reference-Based Design Congrats to the @AIatMeta team and @alexandr_wang on this release!

激动人心的消息：@deepseek_ai 的 DeepSeek-V4.1-Flash-20261017 (Max) 现已成为 Code Arena: WebDev 中排名第一的开源模型，以低 10 倍的成本超越 Kimi K3 (Max)！ 亮点： - 排名第一的开源模型，领先于 Kimi K3 (Max) - 以 1670 分位列总榜第 12，领先于 Claude Opus 5 (High)，与 GPT-6 Sol (Max) 相差约 10 分以内 - 以每百万输入/输出 token $0.3/$1.2 的价格推动帕累托前沿移动 - 相比上一版 DeepSeek-V4.1-Flash-20260910 提升 52 分 祝贺 @deepseek_ai 团队为开源生态又做出了一项强有力的贡献！