Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Llama 4 Scout
Meta
2025-04-05
18 days newer
Performance Metrics
Context window and performance specifications
Llama 4 Scout
Llama-3.3 Nemotron Super 49B v1
Average performance across 2 common benchmarks
Llama 4 Scout
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
Llama 4 Scout
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
Llama-3.3 Nemotron Super 49B v1
Llama 4 Scout
Llama-3.3 Nemotron Super 49B v1