Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
68
Mellum2-12B-A2.5B-Thinking
59
Verified leaderboard positions: DeepSeek V4 Pro #29 · Mellum2-12B-A2.5B-Thinking unranked
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Coding
+11.1 difference
Knowledge
+8.2 difference
DeepSeek V4 Pro
Mellum2-12B-A2.5B-Thinking
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
128K
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 68 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Thinking.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 68 to 59. The biggest single separator in this matchup is GPQA, where the scores are 72.9% and 57.6%.
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 49.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mellum2-12B-A2.5B-Thinking has the edge for coding in this comparison, averaging 69.9 versus 58.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
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