Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
68
MAI-Thinking-1
65
Verified leaderboard positions: DeepSeek V4 Pro #29 · MAI-Thinking-1 #23
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Agentic
+13.1 difference
Coding
+12.2 difference
Knowledge
+20.5 difference
DeepSeek V4 Pro
MAI-Thinking-1
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
DeepSeek V4 Pro has the cleaner provisional overall profile here, landing at 68 versus 65. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V4 Pro's sharpest advantage is in agentic, where it averages 59.1 against 46. The single biggest benchmark swing on the page is LiveCodeBench, 56.8% to 87.7%. MAI-Thinking-1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MAI-Thinking-1 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 256K for MAI-Thinking-1.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 68 to 65. The biggest single separator in this matchup is LiveCodeBench, where the scores are 56.8% and 87.7%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 49.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 58.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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