Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
89
MiMo-V2.5
72
Verified leaderboard positions: GPT-5.4 #16 · MiMo-V2.5 unranked
Pick GPT-5.4 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority.
Agentic
+11.2 difference
Coding
+1.6 difference
Multimodal
+6.2 difference
GPT-5.4
MiMo-V2.5
$2.5 / $15
$null / $null
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 65.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 65.8%. MiMo-V2.5 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for MiMo-V2.5.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 65.8%.
GPT-5.4 has the edge for coding in this comparison, averaging 57.7 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 65.8. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.9 versus 72.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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