Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
60
MiMo-V2-Flash
60
Treat this as a split decision. GPT-5.4 nano makes more sense if you need the larger 400K context window; MiMo-V2-Flash is the better fit if knowledge is the priority or you want the cheaper token bill.
Knowledge
+31.3 difference
GPT-5.4 nano
MiMo-V2-Flash
$0.2 / $1.25
$0 / $0
191 t/s
129 t/s
3.64s
2.14s
400K
256K
Treat this as a split decision. GPT-5.4 nano makes more sense if you need the larger 400K context window; MiMo-V2-Flash is the better fit if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 nano and MiMo-V2-Flash 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.
GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 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-5.4 nano gives you the larger context window at 400K, compared with 256K for MiMo-V2-Flash.
GPT-5.4 nano and MiMo-V2-Flash are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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