Gemini 3 Pro vs Qwen3.5-122B-A10B

Pick Gemini 3 Pro if you want the stronger benchmark profile. Qwen3.5-122B-A10B 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 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 77.2. The single biggest benchmark swing on the page is CharXiv, 81.4% to 77.2%. Qwen3.5-122B-A10B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.

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 Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B.