Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
DeepSeek R1 Distill Qwen 32B
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 Distill Qwen 32B
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 3 common benchmarks
DeepSeek R1 Distill Qwen 32B
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
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 Distill Qwen 32B
DeepInfra
Llama 3.1 Nemotron Ultra 253B v1
DeepSeek R1 Distill Qwen 32B
Llama 3.1 Nemotron Ultra 253B v1