Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
89
MiMo-V2.5
74
Verified leaderboard positions: GPT-5.5 #2 · MiMo-V2.5 unranked
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority.
Agentic
+16.0 difference
Coding
+2.5 difference
Multimodal
+8.9 difference
GPT-5.5
MiMo-V2.5
$5 / $30
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority.
GPT-5.5 is clearly ahead on the provisional aggregate, 89 to 74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in agentic, where it averages 81.8 against 65.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82.7% 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-5.5 is ahead on BenchLM's provisional leaderboard, 89 to 74. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82.7% and 65.8%.
GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 56.1. Inside this category, terminalBench2 is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.8 versus 65.8. Inside this category, Terminal-Bench 2.0 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 77.9 versus 69. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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