Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
83
MiMo-V2-Omni
83
Treat this as a split decision. Claude Sonnet 4.6 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; MiMo-V2-Omni is the better fit if coding is the priority or you need the larger 262K context window.
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
Treat this as a split decision. Claude Sonnet 4.6 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; MiMo-V2-Omni is the better fit if coding is the priority or you need the larger 262K context window.
Claude Sonnet 4.6 and MiMo-V2-Omni finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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.
Claude Sonnet 4.6 and MiMo-V2-Omni are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 66.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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