Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in reasoning, where it averages 81.1 against 36.1. The single biggest benchmark swing on the page is MMLU, 86.9 to 28.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 8B. That is roughly Infinityx on output cost alone. o3-mini is the reasoning model in the pair, while Ministral 3 8B 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. o3-mini gives you the larger context window at 200K, compared with 128K for Ministral 3 8B.
Pick o3-mini if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
o3-mini
66.6
Ministral 3 8B
28.9
o3-mini
55.6
Ministral 3 8B
14.2
o3-mini
74.4
Ministral 3 8B
32.4
o3-mini
81.1
Ministral 3 8B
36.1
o3-mini
70.8
Ministral 3 8B
28
o3-mini
93.9
Ministral 3 8B
69
o3-mini
73
Ministral 3 8B
61.7
o3-mini
87.3
Ministral 3 8B
43.3
o3-mini is ahead overall, 71 to 32. The biggest single separator in this matchup is MMLU, where the scores are 86.9 and 28.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 55.6 versus 14.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 43.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 36.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-mini has the edge for multilingual tasks in this comparison, averaging 73 versus 61.7. 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.