# 阶跃星辰 Step 3.7 Flash 发布，聚焦智能体效率

- 来源：StepFun (@StepFun_ai)
- 发布时间：2026-05-29 08:00
- AIHOT 分数：75
- AIHOT 链接：https://aihot.news/items/cmpq60e9m022kslnocucomhik
- 原文链接：https://x.com/StepFun_ai/status/2060149124117475791

## AI 摘要

阶跃星辰（Step）发布了开源大模型 Step 3.7 Flash，主打智能体（Agent）工作流的效率。该模型在 ClawEval-1.1（67.1分）和 SimpleVQA Search（79.2分）评测中排名第一。其架构为 198B 参数的 MoE，约 11B 为活跃参数，支持 256K 上下文。模型具备多模态理解能力，能处理图像、文档并生成代码或调用工具执行任务。在工具使用方面，它致力于高可靠性，τ²-bench 得分超过 98%。Step 3.7 Flash 兼容 Claude Code、MCP 协议等工具链，并支持在 Mac Studio M4 Max 等设备上本地运行。模型权重以 Apache 2.0 许可开源。

## 正文

⚡️ Step 3.7 Flash is here: The new frontier is agent efficiency.

#1 ClawEval-1.1 (67.1), #1 SimpleVQA Search (79.2), #2 SWE-PRO (56.3), 95.3 on V* Python. Open weights under Apache 2.0.

Built for agentic, coding, search, and multimodal workflows — balancing speed, cost, and reliable execution.

• 400 TPS. 198B sparse MoE, ~11B active. 256K context, 3 reasoning levels.
• Understands UIs, charts, docs, images — then writes code or calls tools to act on what it sees.
• Web + visual search reaches further: more sources, deeper follow-up.
• Reliable tool use — less drift, fewer broken toolcalls. 98%+ on τ²-bench across all difficulty levels.
• Works with Claude Code, KiloCode, Hermes Agent, OpenClaw, and protocols like MCP.
• Runs locally on Mac Studio M4 Max, DGX Spark, AMD AI Max+ 395.

GitHub: http://github.com/stepfun-ai/Step-3.7-Flash
HuggingFace: http://huggingface.co/stepfun-ai/Step-3.7-Flash
GGUF: http://huggingface.co/stepfun-ai/Step-3.7-Flash-GGUF
ModelScope: http://modelscope.cn/models/stepfun-ai/Step-3.7-Flash
API: http://platform.stepfun.ai
Blog: http://static.stepfun.com/blog/step-3.7-flash/