Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
83
MAI-Thinking-1
65
Verified leaderboard positions: Claude Sonnet 4.6 unranked · MAI-Thinking-1 #23
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority or you need the larger 256K context window.
Agentic
+19.1 difference
Coding
+4.6 difference
Knowledge
+3.8 difference
Claude Sonnet 4.6
MAI-Thinking-1
$3 / $15
N/A
44 t/s
N/A
1.48s
N/A
200K
256K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority or you need the larger 256K context window.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 83 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in agentic, where it averages 65.1 against 46. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.1% to 46%. MAI-Thinking-1 does hit back in coding, 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 Claude Sonnet 4.6 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 Sonnet 4.6.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 83 to 65. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59.1% and 46%.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 73.7 versus 69.9. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 66.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 65.1 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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