Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
92
MiMo-V2.5
74
Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you want the cheaper token bill.
Agentic
+23.5 difference
Multimodal
+16.1 difference
GPT-5.4 Pro
MiMo-V2.5
$30 / $180
$0.4 / $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. MiMo-V2.5 only becomes the better choice if you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 92 to 74. 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 agentic, where it averages 89.3 against 65.8. The single biggest benchmark swing on the page is MMMU-Pro, 94% to 77.9%.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.40 input / $2.00 output per 1M tokens for MiMo-V2.5. That is roughly 90.0x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for MiMo-V2.5.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 92 to 74. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94% and 77.9%.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 65.8. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 77.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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