Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
59
MAI-Thinking-1
65
Verified leaderboard positions: GPT-5.4 nano unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
Agentic
+3.1 difference
Knowledge
+16.7 difference
GPT-5.4 nano
MAI-Thinking-1
$0.2 / $1.25
N/A
191 t/s
N/A
3.64s
N/A
400K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 59. 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 53.2. The single biggest benchmark swing on the page is GPQA, 82.8% to 84.2%.
GPT-5.4 nano gives you the larger context window at 400K, compared with 256K for MAI-Thinking-1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 59. The biggest single separator in this matchup is GPQA, where the scores are 82.8% and 84.2%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for agentic tasks in this comparison, averaging 46 versus 42.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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