Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
85
MiMo-V2-Flash
62
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+7.0 difference
Knowledge
+10.8 difference
Claude Sonnet 4.6
MiMo-V2-Flash
$3 / $15
$0 / $0
44 t/s
129 t/s
1.48s
2.14s
200K
256K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 85 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash 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-Flash gives you the larger context window at 256K, compared with 200K for Claude Sonnet 4.6.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 85 to 62. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 83.7%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 73.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 66.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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