Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
MiMo-V2.5-Pro
86
Verified leaderboard positions: DeepSeek V4 Pro (High) #11 · MiMo-V2.5-Pro unranked
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if coding is the priority.
Agentic
+1.6 difference
Coding
+16.6 difference
Knowledge
+14.6 difference
DeepSeek V4 Pro (High)
MiMo-V2.5-Pro
$1.74 / $3.48
$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 Pro (High) only becomes the better choice if coding is the priority.
MiMo-V2.5-Pro has the cleaner provisional overall profile here, landing at 86 versus 83. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 83. The biggest single separator in this matchup is HLE, where the scores are 34.5% and 48%.
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 62.6 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 57.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70 versus 68.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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