Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
82
MiMo-V2-Omni
84
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Claude Sonnet 4.6 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+8.4 difference
Claude Sonnet 4.6
MiMo-V2-Omni
$3 / $15
N/A
44 t/s
N/A
1.48s
N/A
200K
262K
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Claude Sonnet 4.6 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Omni has the cleaner provisional overall profile here, landing at 84 versus 82. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2-Omni's sharpest advantage is in coding, where it averages 74.8 against 66.4. The single biggest benchmark swing on the page is SWE-bench Verified, 79.6% to 74.8%.
MiMo-V2-Omni 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-Omni gives you the larger context window at 262K, compared with 200K for Claude Sonnet 4.6.
MiMo-V2-Omni is ahead on BenchLM's provisional leaderboard, 84 to 82. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 79.6% and 74.8%.
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 66.4. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
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