Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mixtral 8x22B Instruct v0.1 has the cleaner overall profile here, landing at 35 versus 32. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Mixtral 8x22B Instruct v0.1's sharpest advantage is in coding, where it averages 40 against 14.2. The single biggest benchmark swing on the page is MMLU, 71.4 to 28. Ministral 3 8B does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Ministral 3 8B gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Mixtral 8x22B Instruct v0.1 if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if multilingual is the priority or you need the larger 128K context window.
Mixtral 8x22B Instruct v0.1
31.8
Ministral 3 8B
28.9
Mixtral 8x22B Instruct v0.1
40
Ministral 3 8B
14.2
Mixtral 8x22B Instruct v0.1
35.5
Ministral 3 8B
32.4
Mixtral 8x22B Instruct v0.1
38.6
Ministral 3 8B
36.1
Mixtral 8x22B Instruct v0.1
53
Ministral 3 8B
28
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1
42
Ministral 3 8B
61.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1 is ahead overall, 35 to 32. The biggest single separator in this matchup is MMLU, where the scores are 71.4 and 28.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 28. 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 40 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for reasoning in this comparison, averaging 38.6 versus 36.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for agentic tasks in this comparison, averaging 31.8 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for multimodal and grounded tasks in this comparison, averaging 35.5 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B has the edge for multilingual tasks in this comparison, averaging 61.7 versus 42. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.