Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
57
MAI-Thinking-1
65
Verified leaderboard positions: DeepSeek V4 Flash #30 · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+3.1 difference
Coding
+13.9 difference
Knowledge
+24.7 difference
DeepSeek V4 Flash
MAI-Thinking-1
$0.14 / $0.28
N/A
N/A
N/A
N/A
N/A
1M
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if agentic is the priority or you need the larger 1M context window.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MAI-Thinking-1's sharpest advantage is in knowledge, where it averages 69.9 against 45.2. The single biggest benchmark swing on the page is LiveCodeBench, 55.2% to 87.7%. DeepSeek V4 Flash does hit back in agentic, 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 Flash 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 Flash gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 57. The biggest single separator in this matchup is LiveCodeBench, where the scores are 55.2% and 87.7%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 45.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 57.1. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash has the edge for agentic tasks in this comparison, averaging 49.1 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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