Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
67
MiMo-V2-Flash
62
Pick Gemini 2.5 Pro 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
+9.6 difference
Knowledge
+43.7 difference
Gemini 2.5 Pro
MiMo-V2-Flash
$1.25 / $5
$0 / $0
117 t/s
129 t/s
21.19s
2.14s
1M
256K
Pick Gemini 2.5 Pro 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.
Gemini 2.5 Pro is clearly ahead on the provisional aggregate, 67 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 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 Gemini 2.5 Pro 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for MiMo-V2-Flash.
Gemini 2.5 Pro is ahead on BenchLM's provisional leaderboard, 67 to 62. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 73.4%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 40.8. 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 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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