Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
73
MiMo-V2.5-Pro
82
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority.
Agentic
+2.8 difference
Knowledge
+9.4 difference
GPT-5.4 mini
MiMo-V2.5-Pro
$0.75 / $4.5
$1 / $3
201 t/s
N/A
3.85s
N/A
400K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 82 to 73. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in agentic, where it averages 68.4 against 65.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 60% to 68.4%. GPT-5.4 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.00 input / $3.00 output per 1M tokens for MiMo-V2.5-Pro. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 82 to 73. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 60% and 68.4%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 65.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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