Socher's Recursive launches Flint, a local coding model hitting 110 tok/s on Mac

_rockt · x · 2026-10-22

Recursive, founded by Richard Socher, released its first model Flint: a fast local coding model claimed to reach 125+ tokens/s on a MacBook Pro and 150+ on RTX Spark, up to 2x faster than comparable models. It was built from scratch in under 4 months by their automated research system, the Eureka Machine, with open weights on Hugging Face.

A user raced Flint against a comparable Qwen model on real coding tasks on a Mac Studio: Flint ran 110 tok/s and nailed every task, while the Qwen model managed only 28 tok/s and thought for 7 minutes on one task without answering. The poster made Flint their new local default.

Related event: Recursive Releases Flint, a 40B MoE Coding Model Built by Automated AI Research(93 posts)→

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