Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 3.5 Sonnet
40
MAI-Thinking-1
65
Verified leaderboard positions: Claude 3.5 Sonnet unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+22.0 difference
Knowledge
+10.5 difference
Claude 3.5 Sonnet
MAI-Thinking-1
$3 / $15
N/A
N/A
N/A
N/A
N/A
200K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 40. 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 coding, where it averages 71 against 49. The single biggest benchmark swing on the page is GPQA, 59.4% to 84.2%.
MAI-Thinking-1 is the reasoning model in the pair, while Claude 3.5 Sonnet 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. MAI-Thinking-1 gives you the larger context window at 256K, compared with 200K for Claude 3.5 Sonnet.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 40. The biggest single separator in this matchup is GPQA, where the scores are 59.4% and 84.2%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 59.4. 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 49. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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