Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
89
MiMo-V2-Flash
62
Verified leaderboard positions: GPT-5.5 #2 · MiMo-V2-Flash unranked
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Coding
+14.8 difference
Knowledge
+18.1 difference
Math
+42.4 difference
GPT-5.5
MiMo-V2-Flash
$5 / $30
$0 / $0
N/A
129 t/s
N/A
2.14s
1M
256K
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 89 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 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. GPT-5.5 gives you the larger context window at 1M, compared with 256K for MiMo-V2-Flash.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 89 to 62. The biggest single separator in this matchup is GPQA, where the scores are 93.6% and 83.7%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 66.4. 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 58.6. GPT-5.5 stays close enough that the answer can still flip depending on your workload.
MiMo-V2-Flash has the edge for math in this comparison, averaging 94.1 versus 51.7. GPT-5.5 stays close enough that the answer can still flip depending on your workload.
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