Recursive's Flint: open local coding model hits 125+ tokens/s on a MacBook Pro

HeyAmit_ · x · 2026-10-22

Richard Socher's Recursive AI launched Flint, its first model: a fast local coding model built from scratch in under 4 months by their automated research system, the Eureka Machine. It claims best-in-class fast local coding at up to 2x comparable speed — 125+ tokens/sec on a MacBook Pro and 150+ on RTX Spark — offering private, unmetered intelligence with open weights on Hugging Face.

Related event: Recursive Launches Flint, Open-Weight Coding Model Built by Automated AI Research(38 posts)→

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