Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3.1 Flash-Lite is clearly ahead on the aggregate, 55 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Flash-Lite is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mixtral 8x22B Instruct v0.1. That is roughly Infinityx on output cost alone. Gemini 3.1 Flash-Lite gives you the larger context window at 1M, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Gemini 3.1 Flash-Lite if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 3.1 Flash-Lite
51.2
Mixtral 8x22B Instruct v0.1
71.4
Gemini 3.1 Flash-Lite
32.7
Mixtral 8x22B Instruct v0.1
54.8
Gemini 3.1 Flash-Lite is ahead overall, 55 to 28. The biggest single separator in this matchup is MMLU, where the scores are 63 and 71.4.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 71.4 versus 51.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for coding in this comparison, averaging 54.8 versus 32.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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