Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 32.3. The single biggest benchmark swing on the page is MMMU-Pro, 71 to 26.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Mistral 8x7B v0.2 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 14B (Reasoning) gives you the larger context window at 128K, compared with 32K for Mistral 8x7B v0.2.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. Mistral 8x7B v0.2 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Mistral 8x7B v0.2
27.9
Ministral 3 14B (Reasoning)
35
Mistral 8x7B v0.2
13.3
Ministral 3 14B (Reasoning)
71.5
Mistral 8x7B v0.2
32.3
Ministral 3 14B (Reasoning)
69.2
Mistral 8x7B v0.2
35.2
Ministral 3 14B (Reasoning)
52.1
Mistral 8x7B v0.2
28.9
Ministral 3 14B (Reasoning)
81
Mistral 8x7B v0.2
67
Ministral 3 14B (Reasoning)
77.8
Mistral 8x7B v0.2
58.8
Ministral 3 14B (Reasoning)
75.2
Mistral 8x7B v0.2
42
Ministral 3 14B (Reasoning) is ahead overall, 60 to 32. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71 and 26.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 28.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for coding in this comparison, averaging 35 versus 13.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 42. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 35.2. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 27.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 32.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for instruction following in this comparison, averaging 81 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 77.8 versus 58.8. Inside this category, MGSM 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.