Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
58
MiMo-V2.5
74
Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
Multimodal
+4.1 difference
Gemma 4 26B A4B
MiMo-V2.5
$0 / $0
$0.4 / $2
N/A
N/A
N/A
N/A
256K
1M
Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 74 to 58. 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 multimodal & grounded, where it averages 77.9 against 73.8. The single biggest benchmark swing on the page is MMMU-Pro, 73.8% to 77.9%.
MiMo-V2.5 is also the more expensive model on tokens at $0.40 input / $2.00 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. MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 74 to 58. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.8% and 77.9%.
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 77.9 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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