Gemma 4 26B A4B vs Mistral Large 3

Pick Gemma 4 26B A4B 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 26B A4B is clearly ahead on the aggregate, 64 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemma 4 26B A4B's sharpest advantage is in coding, where it averages 77.1 against 41.5. The single biggest benchmark swing on the page is GPQA, 82.3% to 43.9%. 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 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B 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 26B A4B gives you the larger context window at 256K, compared with 128K for Mistral Large 3.