Recursive Launches Flint: 40B MoE Coding Model on OpenRouter
Recursive Intelligence has launched Flint, its first open-weight model designed for coding agents. Built by the automated research system Eureka Machine, this 40B MoE (with ~2.5B active parameters) supports 262K context, reasoning, and tool calling. It achieves 74.2% on SWE-bench Verified and is now available for free via OpenRouter.
Full Report
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:
↳ 引用 @RichardSocher (Richard Socher): 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.
