Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
64
MiniMax M3
76
Verified leaderboard positions: Gemini 2.5 Pro unranked · MiniMax M3 #12
Pick MiniMax M3 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+3.2 difference
Gemini 2.5 Pro
MiniMax M3
$1.25 / $10
$0.3 / $1.2
117 t/s
N/A
21.19s
N/A
1M
1M
Pick MiniMax M3 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 64. 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 coding, where it averages 67 against 63.8. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 80.5%.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 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.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 80.5%.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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