Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Qwen2.5-VL-32B is clearly ahead on the aggregate, 41 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mixtral 8x22B Instruct v0.1 gives you the larger context window at 64K, compared with 32K for Qwen2.5-VL-32B.
Pick Qwen2.5-VL-32B if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if knowledge is the priority or you need the larger 64K context window.
Qwen2.5-VL-32B
36.3
Mixtral 8x22B Instruct v0.1
71.4
Qwen2.5-VL-32B
21
Mixtral 8x22B Instruct v0.1
54.8
Qwen2.5-VL-32B is ahead overall, 41 to 28. The biggest single separator in this matchup is MMLU, where the scores are 43 and 71.4.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 71.4 versus 36.3. 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 21. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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