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.

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.

Gemini 2.5 Pro
2025-05-20

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

Devstral Medium

Gemini 2.5 Pro
Performance Metrics
Context window and performance specifications

Devstral Medium

Gemini 2.5 Pro
Average performance across 1 common benchmarks

Devstral Medium

Gemini 2.5 Pro
Performance comparison across key benchmark categories

Devstral Medium

Gemini 2.5 Pro
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Gemini 2.5 Pro

Devstral Medium

Gemini 2.5 Pro