Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
86
MiniMax M3
76
Verified leaderboard positions: MiMo-V2.5-Pro unranked · MiniMax M3 #12
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+3.5 difference
Coding
+9.8 difference
MiMo-V2.5-Pro
MiniMax M3
$null / $null
$0.3 / $1.2
N/A
N/A
N/A
N/A
1M
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 86 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro is the reasoning model in the pair, while MiniMax M3 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-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 68.4% and 66%.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 57.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 68.4. Inside this category, APEX-Agents-AA is the benchmark that creates the most daylight between them.
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