Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). 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 Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
1 month newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Llama 70B
Llama 3.1 Nemotron Nano 8B V1
Average performance across 2 common benchmarks
DeepSeek R1 Distill Llama 70B
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
DeepSeek R1 Distill Llama 70B
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Llama 3.1 Nemotron Nano 8B V1
DeepSeek R1 Distill Llama 70B
Llama 3.1 Nemotron Nano 8B V1