Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Llama 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Llama 4 Scout
Meta
2025-04-05
18 days newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron Nano 8B V1
Llama 4 Scout
Average performance across 2 common benchmarks
Llama 3.1 Nemotron Nano 8B V1
Llama 4 Scout
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Nano 8B V1
Llama 4 Scout
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B V1
Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
Llama 3.1 Nemotron Nano 8B V1
Llama 4 Scout