OpenRouter 宣布 Recursive 的首个模型 Flint 上线，这是一款面向编码智能体的开源权重 40B MoE 模型（约 2.5B 激活参数），由其自动化研究系统 Eureka Machine 构建，支持 262K 上下文、推理和工具调用。Recursive 报告 Terminal-Bench 2.1 得分 54.9%，SWE-bench Pro v2 得分 89.7%，SWE-bench Verified 得分 74.2%；发布时免费使用，权重已在 Hugging Face 开放，MacBook Pro 上可达 125+ tokens/sec。
原文给出 Flint 的架构、上下文长度和三项基准成绩，读者可据此评估这款本地编码模型的实际水平。
Flint from @Recursive_SI is now on OpenRouter!
Recursive's first model: an open-weight 40B MoE (~2.5B active) built for coding agents by their autoresearch system, the Eureka Machine. 262K context, reasoning and tool calling.
Recursive reports 54.9% on Terminal-Bench 2.1, 89.7% on SWE-bench Pro v2 and 74.2% on SWE-bench Verified.
Free to use at launch.
Try it now: https://openrouter.ai/recursive/flint-v1.0:free
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.在 X 查看被引用的帖子
来源：OpenRouter · x.com