Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Flash finishes one point ahead overall, 58 to 57. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
MiMo-V2-Flash's sharpest advantage is in coding, where it averages 78.7 against 56.2. The single biggest benchmark swing on the page is SWE Multilingual, 71.7% to 76.5%.
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 MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash 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. MiMo-V2-Flash gives you the larger context window at 256K, compared with 200K for MiniMax M2.7.
Pick MiMo-V2-Flash if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
MiMo-V2-Flash
78.7
MiniMax M2.7
56.2
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
MiMo-V2-Flash is ahead overall, 58 to 57. The biggest single separator in this matchup is SWE Multilingual, where the scores are 71.7% and 76.5%.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 78.7 versus 56.2. Inside this category, SWE Multilingual is the benchmark that creates the most daylight between them.
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