Recursive Introduces Flint Model

- Better than Gemma 4 and Muse Glimmer on SWE benchmarks

- 125 tokens per second on an M4 Pro MacBook Pro

- 512k tokens context window

- 40B total, 2.5B active parameters mixture-of-experts

Pretty cool release!

I'm just about to test this one out (M1 Max).

I really like Muse Glimmer, and on low reasoning level it's both helpful and quite quick.

But I won't turn down a model that is faster.

Nemotron Bolt appears to be really quite good but unfortunately it is quite slow on macOS/Metal in llama.cpp at the moment because of lack of support for a tensor type (or something… not sure I understand).

Pretty amazing for being trained from scratch, to have ~Qwen 3.8 27b quality with such an increase in tok/s performance. Excited to try it out and see how snappy it is.

Numbers seem good but can’t really be impressed on real world test https://hypeorcode.com/models/flint/

Congrats on the release, hope the next iteration outperforms the latest Qwen model.

not as good as qwen3.8 yet, even the chart says good numbers, but