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.

Qwen2.5 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26

Devstral Medium
Mistral AI
2025-07-10
5 months newer
Performance Metrics
Context window and performance specifications

Devstral Medium

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

Devstral Medium

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Qwen2.5 VL 72B Instruct

Devstral Medium

Qwen2.5 VL 72B Instruct