Recursive Flint

Recursive Flint is an open-weight 40B mixture-of-experts model built for fast, accurate, local AI coding.

Highlights

Agentic coding performance: delivers leading performance among MoE models under 50B parameters on benchmarks including SWE-bench Pro v2, Terminal-Bench 2.1, and SWE-bench Verified.

Efficient sparse architecture: combines 40B total parameters with approximately 2.5B active parameters per token, significantly reducing the computation required for generation compared with similarly sized dense models.

Long-context workflows: supports up to 262,144 tokens of context, including the prompt and generated output, for reasoning and multi-turn tool use.

Open and customizable: available under the commercially permissive Apache 2.0 license, giving developers the freedom to run, customize, and deploy Flint locally.

Recursive Flint

Recursive Flint is an open-weight 40B mixture-of-experts model built for fast, accurate, local AI coding.

Highlights

Agentic coding performance: delivers leading performance among MoE models under 50B parameters on benchmarks including SWE-bench Pro v2, Terminal-Bench 2.1, and SWE-bench Verified.

Long-context workflows: supports up to 262,144 tokens of context, including the prompt and generated output, for reasoning and multi-turn tool use.

Open and customizable: available under the commercially permissive Apache 2.0 license, giving developers the freedom to run, customize, and deploy Flint locally.

Recursive Flint

Recursive Flint is an open-weight 40B mixture-of-experts model built for fast, accurate, local AI coding.

Highlights

Agentic coding performance: delivers leading performance among MoE models under 50B parameters on benchmarks including SWE-bench Pro v2, Terminal-Bench 2.1, and SWE-bench Verified.
Efficient sparse architecture: combines 40B total parameters with approximately 2.5B active parameters per token, significantly reducing the computation required for generation compared with similarly sized dense models.
Long-context workflows: supports up to 262,144 tokens of context, including the prompt and generated output, for reasoning and multi-turn tool use.
Open and customizable: available under the commercially permissive Apache 2.0 license, giving developers the freedom to run, customize, and deploy Flint locally.

Recursive Flint

Recursive Flint is an open-weight 40B mixture-of-experts model built for fast, accurate, local AI coding.

Highlights

Agentic coding performance: delivers leading performance among MoE models under 50B parameters on benchmarks including SWE-bench Pro v2, Terminal-Bench 2.1, and SWE-bench Verified.
Efficient sparse architecture: combines 40B total parameters with approximately 2.5B active parameters per token, significantly reducing the computation required for generation compared with similarly sized dense models.
Long-context workflows: supports up to 262,144 tokens of context, including the prompt and generated output, for reasoning and multi-turn tool use.
Open and customizable: available under the commercially permissive Apache 2.0 license, giving developers the freedom to run, customize, and deploy Flint locally.

Recursive Flint

Highlights

Recursive Flint

Highlights

Recursive Flint

Highlights

Recursive Flint

Highlights

flint

flint