Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Command A+
39
MiniMax M3
76
Verified leaderboard positions: Command A+ unranked · MiniMax M3 #12
Pick MiniMax M3 if you want the stronger benchmark profile. Command A+ only becomes the better choice if you want the stronger reasoning-first profile.
Multimodal
+5.1 difference
Command A+
MiniMax M3
$2.5 / $10
$0.3 / $1.2
272 t/s
N/A
0.25s
N/A
128K
1M
Pick MiniMax M3 if you want the stronger benchmark profile. Command A+ only becomes the better choice if you want the stronger reasoning-first profile.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in multimodal & grounded, where it averages 64.9 against 59.8. The single biggest benchmark swing on the page is MMMU-Pro, 63% to 78.1%.
Command A+ is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 8.3x on output cost alone. Command A+ 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. MiniMax M3 gives you the larger context window at 1M, compared with 128K for Command A+.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 39. The biggest single separator in this matchup is MMMU-Pro, where the scores are 63% and 78.1%.
MiniMax M3 has the edge for multimodal and grounded tasks in this comparison, averaging 64.9 versus 59.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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