Recursive launches Flint: a local coding model built from scratch in 4 months, 125+ tokens/sec on MacBook
ChengleiSi · x · 2026-10-22
Recursive AI (Richard Socher's startup) released Flint, its first model: a fast local coding model built by the company's automated research system, the Eureka Machine, with a small team training the full pre-training to post-training pipeline from scratch in under 4 months.
- Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
- Benchmark chart shows SWE-bench Verified 74.2, Terminal-Bench 2.1 54.9, LiveCodeBench v6 80.3, leading similar-class local models like Qwen3.5
- Open weights on Hugging Face; free to try via opencode and pidot.dev
Pitch: private, unmetered intelligence on your own machine.
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