Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.5 Flash
81
Qwen3.7 Max
84
Verified leaderboard positions: Gemini 3.5 Flash #9 · Qwen3.7 Max #4
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if agentic is the priority.
Agentic
+7.5 difference
Coding
+19.1 difference
Reasoning
+15.7 difference
Knowledge
+13.2 difference
Inst. Following
+12.7 difference
Gemini 3.5 Flash
Qwen3.7 Max
$1.5 / $9
$null / $null
284.2 t/s
N/A
18.55s
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if agentic is the priority.
Qwen3.7 Max has the cleaner provisional overall profile here, landing at 84 versus 81. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.7 Max's sharpest advantage is in coding, where it averages 73.6 against 54.5. The single biggest benchmark swing on the page is MRCRv2, 77.3% to 90.4%. Gemini 3.5 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 84 to 81. The biggest single separator in this matchup is MRCRv2, where the scores are 77.3% and 90.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 58. Inside this category, AA-Omniscience Hallucination Rate 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 54.5. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 74.7. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for instruction following in this comparison, averaging 89 versus 76.3. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
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