Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params

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Recursive Superintelligence has released Flint, its first model. The Recursive Flint local coding model is a mixture-of-experts (MoE) model with 40B total and 2.5B active parameters. Recursive team states that its Eureka Machine, an automated research system, helped build nearly every part of the stack. The weights are on Hugging Face under Apache 2.0. TL;DR Size: 39.8B total, about 2.5B active per token. Context: 262,144 tokens documented on the model card; the blog cites up to 512k. Runs on: 48 GB Apple Silicon Macs (M4 Pro, M5 Pro, M5 Max) or 48 GB NVIDIA GPUs. 4-bit weights take about 23 GB. Performance: Tops Recursive’s chart among MoE models under 50B on agentic coding. Trails the strongest dense models. Best: IFEval 95.1%. SWE-bench Verified 74.2%. Worst: Terminal-Bench 2.1 at 54.9%, versus 73.0% for dense Qwen 3.8. What is Recursive Flint? Flint is a decoder-only MoE Transformer for coding agents. The model investigates codebases, fixes bugs, implements features and writes tests. It is text-only and supports reasoning and OpenAI-compatible tool calls. Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.• Best-in-class fast local coding• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark• Built from… pic.twitter.com/ufg2xScSGw— Richard Socher (@RichardSocher) October 21, 2026 How does Flint’s architecture work? Flint has 49 layers: 2 dense layers, then 47 MoE layers. Each MoE layer has 256 routed experts. A router selects 6 per token, plus 1 always-active shared expert. Attention mixes 2 types. 35 layers use a 513-token sliding window. 14 layers use full attention with no positional encoding. There are 32 query heads and 4 key/value heads. The 2.5B active figure includes the output head. The active body alone is about 2.2B parameters. How did the Eureka Machine build Flint? The Eureka Machine proposes ideas, impleme