Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
64
MiMo-V2.5
72
Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+14.5 difference
Multimodal
+2.0 difference
Gemma 4 31B
MiMo-V2.5
$0 / $0
$null / $null
N/A
N/A
N/A
N/A
256K
1M
Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 72 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5's sharpest advantage is in coding, where it averages 56.1 against 41.6. The single biggest benchmark swing on the page is MMMU-Pro, 76.9% to 77.9%.
MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 72 to 64. The biggest single separator in this matchup is MMMU-Pro, where the scores are 76.9% and 77.9%.
MiMo-V2.5 has the edge for coding in this comparison, averaging 56.1 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.9 versus 76.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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