Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
79
MAI-Thinking-1
65
Verified leaderboard positions: GPT-5.2 unranked · MAI-Thinking-1 #23
Pick GPT-5.2 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.
Agentic
+9.2 difference
Coding
+6.3 difference
Knowledge
+22.5 difference
GPT-5.2
MAI-Thinking-1
$1.75 / $14
N/A
73 t/s
N/A
130.34s
N/A
400K
256K
Pick GPT-5.2 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.
GPT-5.2 is clearly ahead on the provisional aggregate, 79 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 69.9. The single biggest benchmark swing on the page is GPQA, 92.4% to 84.2%. MAI-Thinking-1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 gives you the larger context window at 400K, compared with 256K for MAI-Thinking-1.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 79 to 65. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 84.2%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 69.9. 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 64.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.2 versus 46. MAI-Thinking-1 stays close enough that the answer can still flip depending on your workload.
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