Recursive Flint

Recursive Flint is a recently tracked product, model, or tool in public channels. The radar excerpt reads:

Recursive launched Flint: open-weight (Apache-2.0) MoE coding model, 39.8B total / ~2.5B active, 262K ctx; 74.2% SWE-bench Verified, 54.9% Terminal-Bench 2.1; >125 tok/s on M4 Pro MacBook; built via its 'Eureka Machine' recursive self-improvement. HF RecursiveSI/flint (+int4, nvfp4-gguf) created Oct 21; vLLM day-0 blog (vllm.ai/blog/2026-10-21-flint); Wall St Engine post 5k views.

The recorded source label is sitemap. Use the public URL below to verify the original post or page.

Based only on the excerpt, Recursive Flint should be understood from the facts stated there. This write-up does not invent funding amounts, model sizes, or leaderboard scores that are absent from the excerpt or URL metadata.

Confirmable points from the excerpt:

• Recursive launched Flint: open-weight (Apache-2.0) MoE coding model, 39.8B total / ~2.5B active, 262K ctx; 74.2% SWE-bench Verified, 54.9% Terminal-Bench 2.1; >125 tok/s on M4 Pro MacBook; built via its 'Eureka Machine' recursive self-improvement.

• HF RecursiveSI/flint (+int4, nvfp4-gguf) created Oct 21; vLLM day-0 blog (vllm.ai/blog/2026-10-21-flint); Wall St Engine post 5k views.

The radar score for this entry is 0.88 (an internal ranking field, not a third-party benchmark score).

To learn more or try Recursive Flint, start from public sources:

1. Open the source link: https://www.recursive.com/updates/introducing-recursive-flint and check the official description and availability.

2. Follow any access path mentioned in the excerpt (API, open weights, waitlist, in-product entry) using official instructions.

3. Before production use, verify license terms, regional availability, and safety limits yourself; do not assume quotas, prices, or eval scores that the excerpt does not state.