Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
89
MAI-Thinking-1
65
Verified leaderboard positions: GPT-5.4 #17 · MAI-Thinking-1 #23
Pick GPT-5.4 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.
Agentic
+31.0 difference
Coding
+13.3 difference
Knowledge
+3.8 difference
GPT-5.4
MAI-Thinking-1
$2.5 / $15
N/A
74 t/s
N/A
151.79s
N/A
1.05M
256K
Pick GPT-5.4 if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 46. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% 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.
GPT-5.4 gives you the larger context window at 1.05M, compared with 256K for MAI-Thinking-1.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 65. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 46%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 66.1. 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 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.