Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-4.5 is clearly ahead on the aggregate, 38 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.5 gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick GLM-4.5 if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if knowledge is the priority.
GLM-4.5
32.2
Mixtral 8x22B Instruct v0.1
71.4
GLM-4.5
20
Mixtral 8x22B Instruct v0.1
54.8
GLM-4.5 is ahead overall, 38 to 28. The biggest single separator in this matchup is MMLU, where the scores are 37 and 71.4.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 71.4 versus 32.2. 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 20. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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