Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
91
MiMo-V2.5
74
Verified leaderboard positions: Claude Opus 4.6 #3 · MiMo-V2.5 unranked
Pick Claude Opus 4.6 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Agentic
+6.8 difference
Coding
+8.3 difference
Multimodal
+0.6 difference
Claude Opus 4.6
MiMo-V2.5
$5 / $25
$0.4 / $2
40 t/s
N/A
1.78s
N/A
1M
1M
Pick Claude Opus 4.6 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 91 to 74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 64.4 against 56.1. The single biggest benchmark swing on the page is SWE-bench Pro, 53.4% to 56.1%. 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.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.40 input / $2.00 output per 1M tokens for MiMo-V2.5. That is roughly 12.5x on output cost alone. MiMo-V2.5 is the reasoning model in the pair, while Claude Opus 4.6 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.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 91 to 74. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 53.4% and 56.1%.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 72.6 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 77.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.