Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Qwen2.5-72B is clearly ahead on the aggregate, 72 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-72B gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Qwen2.5-72B if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if knowledge is the priority.
Qwen2.5-72B
68.2
Mixtral 8x22B Instruct v0.1
71.4
Qwen2.5-72B
53.7
Mixtral 8x22B Instruct v0.1
54.8
Qwen2.5-72B is ahead overall, 72 to 28. The biggest single separator in this matchup is HumanEval, where the scores are 75 and 54.8.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 71.4 versus 68.2. 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 53.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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