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.

Gemma 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3n E4B
2025-06-26

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

Devstral Medium

Gemma 3n E4B
Performance comparison across key benchmark categories

Devstral Medium

Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Gemma 3n E4B

Devstral Medium

Gemma 3n E4B