Updated

Flint

Recursive released Flint, an open mixture-of-experts language model designed for coding agents. Its model card describes repository exploration, bug fixes, feature implementation, tests, and multi-turn tool use; model weights are available from Recursive’s Hugging Face repository.

By No Code MBA · Facts checked

Provider
Recursive
Announcement date
Status at last check
Generally available
Model family
Flint
Capabilities
Text, Coding

What changed

Flint is a mixture-of-experts language model for coding agents that Recursive says was trained from scratch. It has 39.8B total parameters with about 2.5B active per token, 256 routed experts per layer (6 active plus a shared expert), and a documented 262,144-token context covering prompt and output. Recursive reports 54.9% on Terminal-Bench 2.1, 74.2% on SWE-bench Verified and 89.7% on SWE-bench Pro v2. It is text in, text out, with reasoning and multi-turn tool use.

Access and availability

Weights are on Hugging Face at RecursiveSI/flint under Apache 2.0. The BF16 checkpoint is about 80 GB and Recursive's included SGLang kit serves it on one B300 or H200 GPU per replica; no Hugging Face inference provider hosts it.

Official access documentation

What you can build

Evaluate it on a small, representative repository task, such as diagnosing a failing test and proposing a fix, then verify every change with your usual tests and review process.

Limitations

Recursive warns it can produce faulty code or inappropriate tool calls, so code should be tested and tool-using apps need their own permission boundaries. Long reasoning adds latency and can exhaust the output budget, and Transformers modeling code is not included yet.

Sources and release history