Recursive's open Flint model brings fast agentic coding to a laptop
Why it matters
Recursive released Flint on Oct 21, an open-weight mixture-of-experts model for agentic coding on local hardware: 40B total parameters (39.8B) with about 2.5B active per token, built from scratch in under four months by a small team of people and agents. Recursive reports more than 125 tokens/s on an M4 Pro MacBook Pro and more than 150 tokens/s on a 64GB NVIDIA RTX Spark at short contexts, and 54.9% on Terminal-Bench 2.1 and 74.2% on SWE-bench Verified in its release evaluations. It says Flint leads MoE models under 50B total parameters on agentic coding benchmarks and rivals dense 25-40B models on coding while running more than 5x faster. Its Eureka Machine, an automated AI research system, helped develop nearly every part of the model-building stack; the final NVFP4 model scores within 0.7 points of the 16-bit model. Weights are on Hugging Face under Apache 2.0 and work with llama.cpp, Ollama, LM Studio, vLLM and SGLang. Caveat: the scores are Recursive's own, and it says Flint may need more guidance than larger closed-source coding models.
Read the source: Recursive (opens in a new tab)
All hits from 23 Oct 2026More CodingGet the daily hits by email