Claude Opus 4.7 (Adaptive) vs Gemini 3.1 Pro

Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if you want the stronger reasoning-first profile.

Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 93 to 86. 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 multimodal & grounded, where it averages 83.9 against 43.6. The single biggest benchmark swing on the page is ARC-AGI-2, 75.8% to 77.1%.

Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3.1 Pro. That is roughly 2.1x on output cost alone. Claude Opus 4.7 (Adaptive) 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.