Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Qwen3.5-35B-A3B
56
Verified leaderboard positions: Gemini 3 Pro unranked · Qwen3.5-35B-A3B #18
Pick Gemini 3 Pro if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Reasoning
+27.9 difference
Gemini 3 Pro
Qwen3.5-35B-A3B
$2 / $12
$0 / $0
109 t/s
N/A
32.65s
N/A
2M
262K
Pick Gemini 3 Pro if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Gemini 3 Pro is clearly ahead on the provisional aggregate, 81 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. Qwen3.5-35B-A3B is the reasoning model in the pair, while Gemini 3 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 3 Pro gives you the larger context window at 2M, compared with 262K for Qwen3.5-35B-A3B.
Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 81 to 56.
Qwen3.5-35B-A3B has the edge for reasoning in this comparison, averaging 59 versus 31.1. Gemini 3 Pro stays close enough that the answer can still flip depending on your workload.
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