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 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-V3
DeepSeek
2024-12-25
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Llama 3.1 Nemotron Nano 8B V1
Average performance across 3 common benchmarks
DeepSeek-V3
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
DeepSeek-V3
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-V3
DeepSeek
Llama 3.1 Nemotron Nano 8B V1
DeepSeek-V3
Llama 3.1 Nemotron Nano 8B V1