Models New
Recursive releases Flint, an open 40-billion-parameter coding model for laptops it says AI helped build
Published:
Recursive, the start-up led by former Salesforce chief scientist Richard Socher, released its first model, Flint, on 21 October. It is a mixture-of-experts model with 40 billion parameters, of which 2.5 billion are active per token, built for agentic coding on local hardware. TechCrunch reports it is free to download on Hugging Face under the Apache 2.0 licence.
Recursive says Flint leads mixture-of-experts models under 50 billion parameters on agentic coding benchmarks including SWE-Bench Pro v2, Terminal-Bench 2.1 and SWE-Bench Verified, and generates more than 125 tokens per second on an M4 Pro MacBook Pro. It supports contexts of up to 512,000 tokens, with 256,000 recommended.
The company says its automated research system, the Eureka Machine, helped with nearly every part of building the model, from data and training recipes to inference, letting a small team build it from scratch in under four months.
Caveat. Benchmark and speed figures are Recursive's own. The company says Flint needs more guidance than large closed coding models and recommends splitting big tasks into smaller steps.
Sources