Recursive's Eureka Machine builds Flint, a 40B open-weight local coding model, in under 4 months
CodeByPoonam · x · 2026-10-22
Recursive launched Flint, its first model: a 40B-parameter (2B active) fast local coding model built from scratch in under 4 months by its automated AI research system, the Eureka Machine — a notable case of AI accelerating AI research itself.
Key facts:
- Benchmarks: leads comparable local models per official charts — Terminal-Bench 2.1 54.9, SWE-bench Pro v2 89.7, SWE-bench Verified 74.2, LiveCodeBench v6 80.3, IFEval 95.1, beating Qwen 3.5/3.6 sparse MoE and dense rivals on most panels
- Speed: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark, up to 2x faster than similar models
- Open: Apache 2.0 weights on Hugging Face, runs locally or free via opencode
Pitch: private, unmetered intelligence that never leaves your own hardware.
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