Gemma 4 31B vs Mistral Large 3

Pick Gemma 4 31B if you want the stronger benchmark profile. Mistral Large 3 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Gemma 4 31B is clearly ahead on the aggregate, 73 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemma 4 31B's sharpest advantage is in coding, where it averages 80 against 41.5. The single biggest benchmark swing on the page is LiveCodeBench, 80% to 39%. Mistral Large 3 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.

Mistral Large 3 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B is the reasoning model in the pair, while Mistral Large 3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemma 4 31B gives you the larger context window at 256K, compared with 128K for Mistral Large 3.