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English(EN) Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params

Recursive Superintelligence 发布 Flint,一款 40B MoE 编码模型

Recursive Superintelligence 推出了 Flint,一款拥有 400 亿参数的混合专家(MoE)模型,专为编码 Agent 设计。该模型每个 token 使用 25 亿激活参数,是在 Recursive 的自动化研究系统 Eureka Machine 的协助下开发的。Flint 在 IFEval 和 SWE-bench 等编码基准测试中表现强劲,并针对 Apple Silicon Mac 和拥有 48GB 内存的 NVIDIA GPU 进行了优化,以实现高效运行。 AI

影响 该模型针对消费级硬件上的本地执行进行了优化,有望加速资源有限的开发者的 Agent 开发和部署。

排序理由 前沿实验室模型发布,附带系统卡 [lever_c 从 frontier_release 降级:ic=1 ai=1.0]

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Recursive Superintelligence 发布 Flint,一款 40B MoE 编码模型

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前沿实验室模型发布,附带系统卡 [lever_c 从 frontier_release 降级:ic=1 ai=1.0]
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报道来源 [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params

    <p>Recursive has released Flint, an Apache 2.0 local coding model with 40B total and 2.5B active parameters. It reports 74.2% on SWE-bench Verified and 125+ tokens per second on an M4 Pro MacBook Pro.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/21/recursive-flin…