Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
67
Qwen3.6-35B-A3B
64
Verified leaderboard positions: Gemini 2.5 Pro unranked · Qwen3.6-35B-A3B #13
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Coding
+3.1 difference
Knowledge
+19.7 difference
Gemini 2.5 Pro
Qwen3.6-35B-A3B
$1.25 / $5
N/A
117 t/s
N/A
21.19s
N/A
1M
262K
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Gemini 2.5 Pro has the cleaner provisional overall profile here, landing at 67 versus 64. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.6-35B-A3B 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-A3B.
Gemini 2.5 Pro is ahead on BenchLM's provisional leaderboard, 67 to 64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 73.4%.
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 60.5 versus 40.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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