Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
76
MiMo-V2.5-Pro
86
Verified leaderboard positions: Claude Opus 4.5 #13 · MiMo-V2.5-Pro unranked
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+5.9 difference
Coding
+8.7 difference
Knowledge
+18.2 difference
Claude Opus 4.5
MiMo-V2.5-Pro
$5 / $25
$null / $null
46 t/s
N/A
1.01s
N/A
200K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 86 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in agentic, where it averages 68.4 against 62.5. The single biggest benchmark swing on the page is HLE, 30.8% to 48%. Claude Opus 4.5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro is the reasoning model in the pair, while Claude Opus 4.5 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. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 76. The biggest single separator in this matchup is HLE, where the scores are 30.8% and 48%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 65.9 versus 57.2. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 62.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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