Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Grok 4.3
79
Pick Gemini 3 Pro if you want the stronger benchmark profile. Grok 4.3 only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Multimodal
+3.0 difference
Gemini 3 Pro
Grok 4.3
$2 / $12
$1.25 / $2.5
109 t/s
209 t/s
32.65s
12.36s
2M
1M
Pick Gemini 3 Pro if you want the stronger benchmark profile. Grok 4.3 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 81 versus 79. 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 78.1. The single biggest benchmark swing on the page is MMMU-Pro, 81% to 78.1%.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3. That is roughly 4.8x on output cost alone. Grok 4.3 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 Grok 4.3.
Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 81 to 79. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 78.1%.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 78.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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