Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
83
MiMo-V2.5-Pro
86
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Sonnet 4.6 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
+3.3 difference
Coding
+9.2 difference
Knowledge
+25.7 difference
Claude Sonnet 4.6
MiMo-V2.5-Pro
$3 / $15
$null / $null
44 t/s
N/A
1.48s
N/A
200K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Sonnet 4.6 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 has the cleaner provisional overall profile here, landing at 86 versus 83. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5-Pro's sharpest advantage is in agentic, where it averages 68.4 against 65.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.1% to 68.4%. Claude Sonnet 4.6 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 Sonnet 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. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 83. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59.1% and 68.4%.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 73.7 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 66.4 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 65.1. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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