New AI Model Promises Better Coding for Cheaper Hardware
This could make advanced coding AI accessible to more people and small businesses.
A new coding agent model — 40B parameters with 2.5B active — is claimed to resoundingly beat Qwen3.6-35B-A3B on TerminalBench 2.1 and SWE-bench Pro v2, and to tie or better it on the other benchmarks the poster chose to show. It uses 3:1 SWA-to-full attention, has a 262k context, and the poster thinks it might finally dethrone Qwen3.6-35B-A3B and move the needle on coding agents for the GPU-poor. But early reports suggest Ornith-1.5 remains the standard in this class of models, so it's not looking as rosy as hoped — possibly just early implementation glitches.
- Recursive Flint is a new AI model that claims to outperform similar models on coding tasks, potentially making advanced coding AI accessible on cheaper hardware.
- It has a large context window of 262,000 tokens, allowing it to handle very long documents or codebases.
- Early reports are mixed, with some users saying it's not yet better than existing models like Ornith-1.5, so more testing is needed.
Why It Matters
This could lower the cost of coding AI, enabling small businesses and individuals to build software faster and cheaper.