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.

Magistral Medium
Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Llama 4 Scout
Meta
2025-04-05

Magistral Medium
Mistral AI
2025-06-10
2 months newer
Performance Metrics
Context window and performance specifications

Llama 4 Scout

Magistral Medium
Average performance across 2 common benchmarks

Llama 4 Scout

Magistral Medium
Performance comparison across key benchmark categories

Llama 4 Scout

Magistral Medium
Magistral Medium
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Magistral Medium

Llama 4 Scout

Magistral Medium