[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-stepfun-step-3-7-flash-agent-multimodal":3,"topics-all":36,"news-related-f60a52ae-76c9-4fdf-a1d7-efc41bd50c38":55},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"f60a52ae-76c9-4fdf-a1d7-efc41bd50c38","阶跃星辰发布Step 3.7 Flash：面向生产级Agent的开源基座模型升级","5月29日，阶跃星辰正式发布并开源Step 3.7 Flash，这是其面向Agent生产化阶段推出的新一代Flash模型。该模型围绕Agent、Coding、Search与多模态工作流进行了系统性优化，旨在为真实Agent工作流提供高效、可靠的核心能力。\n\nStep 3.7 Flash的四大核心升级尤为值得关注。首先是原生多模态理解与执行——模型原生支持UI、图表、文档、图片及应用界面的深度理解，能将复杂视觉信息转化为结构化结果、代码生成和可执行任务，这解决了传统Agent在处理富视觉信息时的核心痛点。\n\n其次是联网与视觉搜索增强。通过强化联网检索与图像搜索，模型在开放信息环境中能够主动跨文本与图像获取信息并进行交叉比对，显著提升了Agent在动态环境中的适应能力。\n\n第三项升级针对高可靠工具调用与编排。在长程多轮Agent工作流中，稳定调用API、浏览器、终端、Office工具和外部系统是保持任务一致性的关键。Step 3.7 Flash在这方面做了专门优化，降低了任务跑偏和执行失败的概率。\n\n第四是生态兼容优化。模型针对Claude Code、KiloCode、Hermes Agent、OpenClaw等主流Agent框架以及MCP\u002FSkills等工具调用协议进行了深度适配，大幅降低了模型接入和工作流编排的成本。\n\n从技术路线看，Step 3.7 Flash延续了Step 3.5 Flash的稀疏MoE架构思路，但将优化重心从单纯的推理速度转向了生产级Agent场景的可靠性与兼容性。这反映了行业认知的深化：Agent落地真正需要解决的问题，不是模型跑得有多快，而是在复杂长程任务中能不能稳定地把活干完。\n\n随着Claude Code等编程Agent工具逐渐成为开发者标配，与主流生态深度兼容的开源基座模型价值日益凸显。Step 3.7 Flash的发布，为中文开发者社区提供了一个值得关注的自研选择。","https:\u002F\u002Fplatform.stepfun.com\u002F","5f7d17cd-f95b-4a76-be2e-db79144de285",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"f83329b9-c745-47d1-b254-205c77a5354a","en","Step 3.7 Flash: an open base model for production agents","StepFun (阶跃星辰) released Step 3.7 Flash, an open-source base model specifically optimized for production-grade Agent workloads. The model features aggressive MoE sparsity, strong tool use, and competitive coding performance, with the goal of becoming a popular open-source Agent base.","stepfun-step-3-7-flash-agent-multimodal","2026-05-29T01:00:00Z","2026-05-29T01:05:29.236384Z","2026-08-19T02:08:40.142862Z",true,"agent",203,[37,46],{"slug":38,"tag_slug":38,"title_zh":39,"title_en":40,"intro_zh":41,"intro_en":42,"id":43,"is_active":33,"created_at":44,"modified_at":45},"ai-for-science","AI for Science 2026：从 UniPert 到 GPT-Rosalind 的硬核进化","AI for Science 2026: from UniPert to GPT-Rosalind","生命科学、化学材料、物理世界模型——AI 正在从\"语言工具\"变成\"实验伙伴\"。本专题收录 AI 在三大科学方向的关键节点：UniPert 统一基因与化学扰动空间、GPT-Rosalind 端到端生命科学推理、达摩院 AI 智能体 28 小时找到 4 种超导新材料、Anthropic Claude Science 把工作台做成标准品。","From language tool to lab partner — AI is reshaping life sciences, chemistry\u002Fmaterials, and physical world models. This topic covers the key milestones: UniPert unifying genetic-chemical perturbation spaces, GPT-Rosalind's end-to-end life-sciences reasoning, DAMO's AI agent discovering 4 superconducting materials in 28 hours, and Anthropic's Claude Science workbench going mainstream.","988a4300-5fab-41c4-b5d8-63711a2dc757","2026-09-10T01:34:15.296649Z","2026-09-10T01:34:15.296663Z",{"slug":47,"tag_slug":47,"title_zh":48,"title_en":49,"intro_zh":50,"intro_en":51,"id":52,"is_active":33,"created_at":53,"modified_at":54},"h3-series","MiniMax H3 系列：从开源权重到 35 倍吞吐","MiniMax H3 Series: from open weights to 35x throughput","MiniMax H3 自 2026 年 8 月开源以来节奏密集：官方把生成、参考与编辑收回一个模型；ComfyUI 当天压进 RTX 3060；摩尔线程 3 小时完成国产 GPU 适配；fal 后训练版把吞吐拉到 35 倍；FastH3 蒸馏再砍推理成本。本专题持续追踪 H3 的发布—开源—蒸馏—部署全链路。","Since MiniMax open-sourced H3 in August 2026 the pace has been relentless: one unified omni-modal model, same-day ComfyUI support down to an RTX 3060, a 3-hour Day-0 port to Moore Threads GPUs, fal's post-trained H3 Max at 35x throughput, and FastH3 distillation cutting inference cost further. This topic tracks the full H3 chain — release, open weights, distillation, deployment.","83ef0daa-3c31-4cb3-86ed-e5ee58654d5f","2026-09-08T07:33:19.942193Z","2026-09-08T07:33:19.942209Z",{"items":56},[57,62,67,72,77,82],{"id":58,"title":59,"news_slug":60,"published_at":61},"089f56f3-32ff-4036-89b5-728d5f5a9359","边聊边干活:腾讯混元开源全模态交互 Agent Gander,小脑管对话、大脑管执行","hunyuan-gander-omni-interaction-agent","2026-09-09T21:07:00+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"dcd8b3e1-a3c7-4614-aba4-9002219ea5f6","LibreDB Studio 0.15 发布:本地 LLM 接管数据库交互","libredb-studio-local-llm-agent","2026-09-15T00:00:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"cd49f913-cde7-4cf3-8d93-24508653180e","腾讯混元开源AuK:1.5B语音模型统一生成与编辑,4步推理快4.5倍","tencent-hunyuan-auk-speech-editing","2026-09-09T09:12:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"44aa8908-1cef-48d6-b224-7de12a8d4afd","NeoHorse-1：让 Agent 执行轨迹进入自我改进回路","neohorse-1-agentic-post-training-rsi","2026-09-09T07:19:25+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"051084dc-3da0-451e-9c6b-a267d5b0e77f","给机器人技能装上门禁:EmbodiedSkills 预检+验证闭环,RoboTwin 50 任务冲到 86.2%","embodiedskills-vla-verify-loop","2026-09-08T17:10:00+00:00",{"id":83,"title":84,"news_slug":85,"published_at":86},"9bd3ef9b-d6b9-4793-9156-15ce7d91a66f","微软开源流式说话人 ASR:VibeVoice 7B 实时转录“谁在说什么”","vibevoice-asr-streaming-speaker-attribution","2026-09-07T15:10:00+00:00"]