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.

Phi-4-multimodal-instruct
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Microsoft's latest advancement in AI technology.

Phi-4-multimodal-instruct
Microsoft
2025-02-01

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

Devstral Medium

Phi-4-multimodal-instruct
Performance Metrics
Context window and performance specifications

Devstral Medium

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

Devstral Medium

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Phi-4-multimodal-instruct
DeepInfra

Devstral Medium

Phi-4-multimodal-instruct