Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 is clearly ahead on the aggregate, 43 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in knowledge, where it averages 78.3 against 71.4. The single biggest benchmark swing on the page is MMLU, 90.2 to 71.4. Mixtral 8x22B Instruct v0.1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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. GPT-4.1 gives you the larger context window at 1M, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick GPT-4.1 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.
GPT-4.1
78.3
Mixtral 8x22B Instruct v0.1
71.4
GPT-4.1
54.6
Mixtral 8x22B Instruct v0.1
54.8
GPT-4.1 is ahead overall, 43 to 28. The biggest single separator in this matchup is MMLU, where the scores are 90.2 and 71.4.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 71.4. 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 54.6. GPT-4.1 stays close enough that the answer can still flip depending on your workload.
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