Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.1 Pro
92
Qwen3.5-27B
63
Verified leaderboard positions: Gemini 3.1 Pro unranked · Qwen3.5-27B #16
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Reasoning
+16.5 difference
Gemini 3.1 Pro
Qwen3.5-27B
$2 / $12
$0 / $0
109 t/s
N/A
29.71s
N/A
1M
262K
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 92 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro's sharpest advantage is in reasoning, where it averages 77.1 against 60.6.
Gemini 3.1 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 Qwen3.5-27B. That is roughly Infinityx on output cost alone. Qwen3.5-27B is the reasoning model in the pair, while Gemini 3.1 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 3.1 Pro gives you the larger context window at 1M, compared with 262K for Qwen3.5-27B.
Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 92 to 63.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 60.6. Qwen3.5-27B stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.