Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
80
Interfaze Beta
77
Pick Gemini 3 Pro if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Multimodal
+10.0 difference
Gemini 3 Pro
Interfaze Beta
$2 / $12
$1.5 / $3.5
109 t/s
N/A
32.65s
N/A
2M
1M
Pick Gemini 3 Pro if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Gemini 3 Pro has the cleaner provisional overall profile here, landing at 80 versus 77. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 81% to 71.1%.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 3.4x on output cost alone. Interfaze Beta 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 1M for Interfaze Beta.
Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 80 to 77. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 71.1%.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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