Moonshot AI 出了 Kimi K3.1 Pro，Together AI 上就能直接调用， podcast 里有他们自己人讲细节，想用的话可以先听听。
Moonshot AI 推出了 Kimi K3.1 Pro 模型。Together AI 与 Moonshot AI 进行了一场对话，介绍了这款模型的相关信息。Together AI 同时为 Kimi K3.1 Pro 提供托管服务，开发者可以通过 Together AI 平台访问该模型。
Everything you need to know about Kimi K3.1 Pro: A conversation with Moonshot AI and Together AI https://t.co/WnuHXKoQRi
Moonshot 的 Kimi K3.1 Pro 要上 Ollama Cloud 了，美国节点还承诺零数据留存，不想自己下权重部署的话可以等等这个。
Databricks 第一时间上线了 Moonshot 的 Kimi K3.1 Pro，自家团队已经拿它写代码了，开源模型又多一个能打的选项。
Hy4 matches a top open model on agentic performance at roughly a third of the cost per task, shifting the price-performance frontier for long-horizon agent workloads. Teams building finance, frontend, research or office automation agents can try it now via Tencent's preview page and should benchmark it against Kimi K3.1 Pro before committing. If Tencent open-weights the model as signalled, it becomes a strong free-tier candidate for cost-sensitive deployments across ASEAN and beyond.
The heavier weighting on Non-Hallucination and Agentic Tool Use signals which failure modes actually matter for professional work, and leaderboard positions may shift for models evaluated under the older v1 methodology. Hiring teams and enterprises selecting models for legal, finance or medical workflows can use the six indexes to match models to specific occupations rather than relying on a single aggregate score. Chinese labs' strong open-weight showings from Moonshot, MiniMax and DeepSeek also give cost-sensitive buyers credible alternatives to frontier closed models.
有人一条提示词就让 Kimi 自己写 Three.js、跑 Blender，还连上他的 4 张 3090 用 YuE2 配乐，成片质量不输 Opus 5.5，值得看看效果。
模型评测榜 v5 版来了，60% 改用私有题防刷榜，Claude Opus 5.5 拿了第一，开源和闭源差距拉大到 12 分，选模型前可以看看。
