#Anthropic

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

Moonshot AI’s first update, the new Kimi K3.1 Pro > Kimi K3.1 Pro scores 65.7% on Terminal-Bench 4.0, 0.7 points behind Claude Opus 5.5 and 7.5 ahead of GPT-6 Astra, at a lower average cost per task than either rival’s top runs. > Moonshot saw exploit skill climb as post-training scaled, so it removed cyber-related data from mid-training and RL; on its internal xdev-bench-hard, pass@3 fell from 90.5% to 81.0%. > The filtered model still solves 81.0% of those exploitation tasks against K3’s 33.3%, which Moonshot reads as general coding gains carrying into cyber work, while a third-party run of GPT-5.6 Sol solved 100%. > On Moonshot’s internal hallucination stress test with tools, false claims fell from 23.4% for K3 to 8.3%, still above GPT-6 Astra’s 5.5% but well below Claude Opus 5.5’s 15.0%. > The biggest jump is on Moonshot’s simulated business-operation test, where scores rose from 8.9 to 37, and K3.1 Pro also tops OfficeQA Pro v2 at 64.4 against Opus 5.5’s 62.2. > Gains are uneven: K3.1 Pro scores 38.1 on Terminal-Bench Science against GPT-6 Astra’s 68.1 and Opus 5.5’s 63.3, while leading Agents’ Last Exam at 43.2 and Humanity’s Last Exam with tools at 70.0. > K3.1 Pro and a Highspeed variant running 2-3x faster are live in Kimi’s apps and API, with full weights due by November 4 for independent reruns.

由 @AIatMeta 推出的 Muse Wonder (Max) 已进入 Code Arena：WebDev 以 1651 分位列第 15，Text Arena 以 1513 分位列第 2！ 在 Code Arena：WebDev 中，Muse Wonder (Max) 以 1651 分位列第 15。这一结果略低于以 1659 分位列第 12 的 Muse Spark 1.3 (Max)，与以 1655 分位列第 14 的 Kimi K3 (Max) 相差 4 分以内，并比以 1640 分位列第 16 的 Grok 4.7 (xHigh) 高 11 分。 此次发布在 Text Arena 中相较过去的 Muse 模型有显著提升。与以 1494 分位列第 11 的 Muse Spark 1.3 (Max) 相比，Muse Wonder (Max) 提升了 +19 分并上升 9 位至第 2。它落后于以 1525 分排名第 1 的 Gemini 4 Argon (High) 12 分。 祝贺 @AIatMeta 团队发布这一版本！

Real-world results are in for Claude Haiku 5.5 (High) by @AnthropicAI. Debuting at #30 with 1587 pts in Code Arena: WebDev, this release sits just outside the Pareto frontier while still offering strong cost efficiency. It matches GPT‑6 Luna’s price at $0.10/$0.50 per 1M input/output tokens while scoring six pts higher. Compared with other Claude models, Haiku 5.5 offers: - 90% lower cost than Haiku 4.5 at +257 pts - 95% lower cost than Sonnet 5.5 (High) at -128 pts - 98% lower cost than Opus 5 (High) at -70 pts - 99% lower cost than Fable 5.1 (Max) at -157 pts Congrats to the team at @AnthropicAI on this release!

Real-world results are in for Claude Haiku 5.5 (High) by @AnthropicAI. Debuting at #30 with 1587 pts in Code Arena: WebDev, this release sits just outside the Pareto frontier while still offering strong cost efficiency. It matches GPT‑6 Luna’s price at $0.10/$0.50 per 1M input/output tokens while scoring six pts higher. Compared with other Claude models, Haiku 5.5 offers: - 90% lower cost than Haiku 4.5 at +257 pts - 95% lower cost than Sonnet 5.5 (High) at -128 pts - 98% lower cost than Opus 5 (High) at -70 pts - 99% lower cost than Fable 5.1 (Max) at -157 pts Congrats to the team at @AnthropicAI on this release!

隆重推出 Claude Haiku 5.5：我们迄今为止发布的最便宜、最快、最强大的小型模型。 平均而言，它的运行成本比 Claude Haiku 4.5 低约 75%。

隆重推出 Claude Haiku 5.5：我们迄今为止发布的最便宜、最快、最强大的小型模型。 平均而言，它的运行成本比 Claude Haiku 4.5 低约 75%。