Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 85 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in coding, where it averages 69 against 54.8. The single biggest benchmark swing on the page is HumanEval, 91 to 54.8.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Mixtral 8x22B Instruct v0.1 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 Deep Think gives you the larger context window at 2M, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
82.8
Mixtral 8x22B Instruct v0.1
71.4
Gemini 3 Pro Deep Think
69
Mixtral 8x22B Instruct v0.1
54.8
Gemini 3 Pro Deep Think is ahead overall, 85 to 28. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 54.8.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 82.8 versus 71.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 69 versus 54.8. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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