Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
55
MAI-Thinking-1
65
Verified leaderboard positions: Gemma 4 26B A4B unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+20.7 difference
Gemma 4 26B A4B
MAI-Thinking-1
$0 / $0
N/A
N/A
N/A
N/A
N/A
256K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 55. 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 49.2. The single biggest benchmark swing on the page is MMLU-Pro, 82.6% to 85%.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 55. The biggest single separator in this matchup is MMLU-Pro, where the scores are 82.6% and 85%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 49.2. Inside this category, MMLU-Pro 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.