Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3 70B is clearly ahead on the aggregate, 45 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3 70B's sharpest advantage is in multimodal & grounded, where it averages 52.3 against 33.4. The single biggest benchmark swing on the page is GPQA, 58 to 29.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Llama 3 70B 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.
Pick Llama 3 70B if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Llama 3 70B
41.2
Ministral 3 8B (Reasoning)
38.5
Llama 3 70B
15.8
Ministral 3 8B (Reasoning)
15.2
Llama 3 70B
52.3
Ministral 3 8B (Reasoning)
33.4
Llama 3 70B
59.6
Ministral 3 8B (Reasoning)
42.1
Llama 3 70B
42.2
Ministral 3 8B (Reasoning)
30
Llama 3 70B
77
Ministral 3 8B (Reasoning)
70
Llama 3 70B
67.5
Ministral 3 8B (Reasoning)
61.7
Llama 3 70B
63.3
Ministral 3 8B (Reasoning)
47.8
Llama 3 70B is ahead overall, 45 to 36. The biggest single separator in this matchup is GPQA, where the scores are 58 and 29.
Llama 3 70B has the edge for knowledge tasks in this comparison, averaging 42.2 versus 30. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for coding in this comparison, averaging 15.8 versus 15.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for math in this comparison, averaging 63.3 versus 47.8. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for reasoning in this comparison, averaging 59.6 versus 42.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for agentic tasks in this comparison, averaging 41.2 versus 38.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multimodal and grounded tasks in this comparison, averaging 52.3 versus 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for instruction following in this comparison, averaging 77 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multilingual tasks in this comparison, averaging 67.5 versus 61.7. 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.