Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V2.5
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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-V2.5
DeepSeek
2024-05-08
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
10 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Llama 3.1 Nemotron Nano 8B V1
Average performance across 1 common benchmarks
DeepSeek-V2.5
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
DeepSeek-V2.5
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-V2.5
Hyperbolic
DeepInfra
DeepSeek
Llama 3.1 Nemotron Nano 8B V1
DeepSeek-V2.5
Llama 3.1 Nemotron Nano 8B V1