MiniMax M2.7 vs Mistral Small 4 (Reasoning)

Mistral Small 4 (Reasoning) is clearly ahead on the aggregate, 68 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Mistral Small 4 (Reasoning)'s sharpest advantage is in coding, where it averages 63.6 against 56.2.

MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral Small 4 (Reasoning). That is roughly Infinityx on output cost alone. Mistral Small 4 (Reasoning) is the reasoning model in the pair, while MiniMax M2.7 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. Mistral Small 4 (Reasoning) gives you the larger context window at 256K, compared with 200K for MiniMax M2.7.