Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
85
MiMo-V2-Flash
60
Verified leaderboard positions: Kimi K2.6 #9 · MiMo-V2-Flash unranked
Pick Kimi K2.6 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
+1.4 difference
Knowledge
+30.7 difference
Kimi K2.6
MiMo-V2-Flash
$0.95 / $4
$0 / $0
N/A
129 t/s
N/A
2.14s
256K
256K
Pick Kimi K2.6 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.
Kimi K2.6 is clearly ahead on the provisional aggregate, 85 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 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.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 85 to 60. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.2% and 73.4%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 53.8. Inside this category, AA-Omniscience Index 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 72. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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