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JieYue releases Step 3.7 Flash, a multimodal MoE model for agents

By PulseAugur Editorial · [4 sources] ·

JieYue (StepFun) has released and open-sourced Step 3.7 Flash, a new generation of Flash models optimized for agentic tasks, coding, and multimodal workflows. This Mixture-of-Experts (MoE) model features 196 billion total parameters with only 11 billion active, and includes a built-in vision transformer. Benchmarks show it performing competitively with models like DeepSeek V4 Flash and Gemini 3.5 Flash on coding tasks, and close to GPT-4.5 on a QA benchmark, making it a strong option for local agent applications. AI

IMPACT Sets a new benchmark for flash-tier models in agentic and coding tasks, potentially lowering costs for multimodal AI applications.

RANK_REASON Model release from a frontier lab (JieYue) with performance benchmarks. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

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COVERAGE [4]

  1. Hugging Face Trending Models TIER_1 English(EN) · stepfun-ai ·

    stepfun-ai/Step-3.7-Flash-GGUF

    image-text-to-text · 476 downloads · 49 likes

  2. Hugging Face Trending Models TIER_1 Română(RO) · stepfun-ai ·

    stepfun-ai/Step-3.7-Flash

    image-text-to-text · 1,397 downloads · 52 likes

  3. 36氪 (36Kr) TIER_1 中文(ZH) ·

    Jieyue Release Step 3.7 Flash

    36氪获悉，据阶跃星辰消息，阶跃正式发布并开源Step 3.7 Flash。据介绍，Step 3.7 Flash是面向Agent生产化阶段推出的新一代Flash模型，围绕Agent、Coding、Search与多模态工作流进行系统优化。

  4. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/Everlier ·

    StepFun 3.7 Flash

    <!-- SC_OFF --><div class="md"><p>StepFun dropped Step 3.7 Flash, 196B total / 11B active MoE, runs locally on 128GB RAM</p> <p>It's a multimodal MoE (196B total params, only 11B active) with a built-in 1.8B ViT for vision.</p> <p>Benchmark highlights vs. other flash-tier models:…

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