Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
DeepSeek-V3
DeepSeek
2024-12-25
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Llama 3.1 Nemotron 70B Instruct
Average performance across 1 common benchmarks
DeepSeek-V3
Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Llama 3.1 Nemotron 70B Instruct
DeepSeek-V3
Llama 3.1 Nemotron 70B Instruct