Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
MAI-Thinking-1
65
Verified leaderboard positions: DeepSeek V4 Pro (Max) #5 · MAI-Thinking-1 #23
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if knowledge is the priority.
Agentic
+28.0 difference
Coding
+4.9 difference
Knowledge
+3.8 difference
DeepSeek V4 Pro (Max)
MAI-Thinking-1
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if knowledge is the priority.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max)'s sharpest advantage is in agentic, where it averages 74 against 46. The single biggest benchmark swing on the page is SimpleQA, 57.9% to 31%. MAI-Thinking-1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 65. The biggest single separator in this matchup is SimpleQA, where the scores are 57.9% and 31%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 66.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 71. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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