Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
91
MiniMax M3
76
Verified leaderboard positions: GPT-5.4 Pro unranked · MiniMax M3 #12
Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+17.4 difference
Multimodal
+29.1 difference
GPT-5.4 Pro
MiniMax M3
$30 / $180
$0.3 / $1.2
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 64.9. The single biggest benchmark swing on the page is MMMU-Pro, 94% to 78.1%.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 150.0x on output cost alone. GPT-5.4 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for MiniMax M3.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94% and 78.1%.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 71.9. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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