Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Devstral Medium
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI'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 4 Scout
Meta
2025-04-05

Devstral Medium
Mistral AI
2025-07-10
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Devstral Medium

Llama 4 Scout
Performance Metrics
Context window and performance specifications

Devstral Medium

Llama 4 Scout
Performance comparison across key benchmark categories

Devstral Medium

Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Devstral Medium

Llama 4 Scout