Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
83
Gemini 3.1 Pro
92
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Sonnet 4.6 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Multimodal
+5.4 difference
Claude Sonnet 4.6
Gemini 3.1 Pro
$3 / $15
$2 / $12
44 t/s
109 t/s
1.48s
29.71s
200K
1M
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Sonnet 4.6 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 92 to 83. 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 82.8 against 77.4. The single biggest benchmark swing on the page is CharXiv, 77.4% to 80.2%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3.1 Pro. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 92 to 83. The biggest single separator in this matchup is CharXiv, where the scores are 77.4% and 80.2%.
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 82.8 versus 77.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.