Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
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.
DeepSeek-R1
DeepSeek
2025-01-20
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 4 common benchmarks
DeepSeek-R1
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
DeepSeek-R1
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Llama 3.1 Nemotron Ultra 253B v1
DeepSeek-R1
Llama 3.1 Nemotron Ultra 253B v1