Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (High)
71
MiMo-V2.5-Pro
88
Verified leaderboard positions: DeepSeek V4 Flash (High) #19 · MiMo-V2.5-Pro unranked
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if coding is the priority.
Agentic
+13.0 difference
Coding
+15.0 difference
Knowledge
+9.2 difference
DeepSeek V4 Flash (High)
MiMo-V2.5-Pro
$0.14 / $0.28
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if coding is the priority.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 88 to 71. 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 55.4. The single biggest benchmark swing on the page is HLE, 29.4% to 48%. DeepSeek V4 Flash (High) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 88 to 71. The biggest single separator in this matchup is HLE, where the scores are 29.4% and 48%.
DeepSeek V4 Flash (High) has the edge for knowledge tasks in this comparison, averaging 57.2 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 72.2 versus 57.2. Inside this category, Terminal-Bench 2.0 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 55.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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