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Llama 3.1 Nemotron Ultra 253B v1 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 25.3% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 days newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:26.4%
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o4-mini
Average Score:51.7%(+25.3%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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o4-mini
1 providers
OpenAI
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:26.4%
Providers:0
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o4-mini
Avg Score:51.7%(+25.3%)
Providers:1