Recursive shows first result of its AI-driven research process with Flint

AI startup Recursive has released Flint, a mixture-of-experts model with 40 billion total and 2.5 billion active parameters, built in four months with the help of its "Eureka Machine" system that proposed, ran, and evaluated experiments. Recursive claims Flint leads coding benchmarks among MoE models under 50 billion parameters, though the results have not been independently verified, and the weights are available on Hugging Face under Apache 2.0. The company says Flint runs locally with context windows up to 512,000 tokens and generates over 125 tokens per second on an M4 Pro, but acknowledges it needs more guidance on complex tasks than large proprietary models.