Gemini 2.5 Pro vs Qwen3.5-27B

Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Gemini 2.5 Pro has the cleaner provisional overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Gemini 2.5 Pro's sharpest advantage is in coding, where it averages 63.8 against 63. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 72.4%. Qwen3.5-27B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. That is roughly Infinityx on output cost alone. Qwen3.5-27B 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 Qwen3.5-27B.