Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. 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%). The model shows particular specialization in math tasks with an average performance of 84.7%. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
DeepSeek-V3.1
DeepSeek
2025-01-10
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 2 common benchmarks
DeepSeek-V3.1
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
DeepSeek-V3.1
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-V3.1
DeepInfra
Novita
Llama 3.1 Nemotron Ultra 253B v1
DeepSeek-V3.1
Llama 3.1 Nemotron Ultra 253B v1