Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
66
MiMo-V2-Omni
83
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+2.4 difference
Claude Sonnet 4.5
MiMo-V2-Omni
$3 / $15
N/A
N/A
N/A
N/A
N/A
200K
262K
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Omni is clearly ahead on the provisional aggregate, 83 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Omni is the reasoning model in the pair, while Claude Sonnet 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-Omni gives you the larger context window at 262K, compared with 200K for Claude Sonnet 4.5.
MiMo-V2-Omni is ahead on BenchLM's provisional leaderboard, 83 to 66. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.2% and 74.8%.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 versus 74.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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