Models & Labs
Recursive launches Flint, an AI-built coding model
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Why it matters
- →Demonstrates viable local inference performance rivaling larger cloud-hosted models.
- →Validates the 'Eureka Machine' approach to automated model architecture and training optimization.
- →Provides an open-source, privacy-preserving coding assistant for developers wary of cloud data leakage.
AI startup Recursive has released Flint, its first coding model, which was developed primarily using its automated 'Eureka Machine' research system. The 40-billion-parameter mixture-of-experts model is optimized for local execution, running at approximately 131 tokens per second on Apple M4 Pro chips and outperforming similar-sized open models like Google's Gemma 4 in speed and SWE-Bench benchmarks. Released under the Apache 2.0 license on Hugging Face, Flint allows developers to use AI coding assistance offline without cloud fees. This launch serves as an early public test of recursive self-improvement, demonstrating that AI agents can significantly accelerate model development cycles.
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