Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 8B (Reasoning) finishes one point ahead overall, 36 to 35. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Ministral 3 8B (Reasoning)'s sharpest advantage is in multilingual, where it averages 61.7 against 42. The single biggest benchmark swing on the page is MMLU, 30 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.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Mixtral 8x22B Instruct v0.1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Ministral 3 8B (Reasoning) gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Ministral 3 8B (Reasoning) if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 8B (Reasoning)
38.5
Mixtral 8x22B Instruct v0.1
31.8
Ministral 3 8B (Reasoning)
15.2
Mixtral 8x22B Instruct v0.1
40
Ministral 3 8B (Reasoning)
33.4
Mixtral 8x22B Instruct v0.1
35.5
Ministral 3 8B (Reasoning)
42.1
Mixtral 8x22B Instruct v0.1
38.6
Ministral 3 8B (Reasoning)
30
Mixtral 8x22B Instruct v0.1
53
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Ministral 3 8B (Reasoning)
61.7
Mixtral 8x22B Instruct v0.1
42
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Ministral 3 8B (Reasoning) is ahead overall, 36 to 35. The biggest single separator in this matchup is MMLU, where the scores are 30 and 71.4.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 30. 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 15.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for reasoning in this comparison, averaging 42.1 versus 38.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for agentic tasks in this comparison, averaging 38.5 versus 31.8. Inside this category, BrowseComp 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 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) 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.