Recursive ships Flint: 40B MoE with 2.5B active params for laptop coding at 125 tok/s

_rockt · x · 2026-10-22

Recursive introduced Flint, a mixture-of-experts model for fast agentic coding on local hardware: 40B total parameters with just 2.5B active per token, built from scratch in under four months by a small team plus agents. It leads sub-50B MoE models on SWE-Bench Pro v2, Terminal-Bench 2.1 and SWE-Bench Verified, rivals 25–40B dense models while running 5x faster, and hits 125+ tok/s on an M4 Pro MacBook Pro and 150+ tok/s on a 64GB RTX Spark. Flint doubles as a proof of Recursive's Eureka Machine, its automated AI R&D system that developed nearly every part of the stack.

Related event: Recursive Releases Flint, 40B MoE Coding Model Built by Automated AI Research(50 posts)→

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