Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B is clearly ahead on the aggregate, 55 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B's sharpest advantage is in multimodal & grounded, where it averages 70.5 against 44.7. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 37. Nemotron Ultra 253B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron Ultra 253B is the reasoning model in the pair, while Ministral 3 14B 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 gives you the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.
Pick Ministral 3 14B if you want the stronger benchmark profile. Nemotron Ultra 253B only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Ministral 3 14B
48.4
Nemotron Ultra 253B
46.7
Ministral 3 14B
33
Nemotron Ultra 253B
33.7
Ministral 3 14B
70.5
Nemotron Ultra 253B
44.7
Ministral 3 14B
63.6
Nemotron Ultra 253B
53.3
Ministral 3 14B
50.1
Nemotron Ultra 253B
42.4
Ministral 3 14B
80
Nemotron Ultra 253B
78
Ministral 3 14B
76.8
Nemotron Ultra 253B
70.1
Ministral 3 14B
69.7
Nemotron Ultra 253B
59.7
Ministral 3 14B is ahead overall, 55 to 48. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 37.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 42.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for coding in this comparison, averaging 33.7 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 59.7. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for reasoning in this comparison, averaging 63.6 versus 53.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for agentic tasks in this comparison, averaging 48.4 versus 46.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 44.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 70.1. 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.