Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
64
Qwen3.7 Max
93
Verified leaderboard positions: Gemini 2.5 Pro unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+9.8 difference
Knowledge
+30.4 difference
Gemini 2.5 Pro
Qwen3.7 Max
$1.25 / $10
$null / $null
117 t/s
N/A
21.19s
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in knowledge, where it averages 71.2 against 40.8. The single biggest benchmark swing on the page is HLE, 18.8% to 41.4%.
Qwen3.7 Max is the reasoning model in the pair, while Gemini 2.5 Pro 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.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 64. The biggest single separator in this matchup is HLE, where the scores are 18.8% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 40.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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