Recursive's Flint: a 40B MoE local coding model built by AI in under 4 months

ChengleiSi · x · 2026-10-22

Richard Socher unveiled Flint, Recursive AI's first model: a fast local coding model (40B MoE, 2.5B active, Apache 2.0) built almost entirely by their automated research system Eureka Machine — data, training recipes, inference kernels — from scratch in under 4 months. It claims 125+ tokens/s on an M4 Pro MacBook, 150+ on RTX Spark, up to 2x faster than peers, with open weights on Hugging Face.

Related event: Recursive releases Flint, an open-weights 40B MoE coding model built in under 4 months by its automated Eureka research system(49 posts)→

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