Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
MiniCPM5-1B
34
Verified leaderboard positions: MAI-Thinking-1 #23 · MiniCPM5-1B #31
Pick MAI-Thinking-1 if you want the stronger benchmark profile. MiniCPM5-1B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+30.1 difference
Math
+37.4 difference
Inst. Following
+16.4 difference
MAI-Thinking-1
MiniCPM5-1B
N/A
N/A
N/A
N/A
N/A
N/A
256K
131K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. MiniCPM5-1B 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 34. 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 mathematics, where it averages 97 against 59.6. The single biggest benchmark swing on the page is AIME 2025, 97% to 40.4%.
MAI-Thinking-1 gives you the larger context window at 256K, compared with 131K for MiniCPM5-1B.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 34. The biggest single separator in this matchup is AIME 2025, where the scores are 97% and 40.4%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 39.8. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for math in this comparison, averaging 97 versus 59.6. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 68.6. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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