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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
2024-11-28

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

Devstral Medium

QwQ-32B-Preview
Performance Metrics
Context window and performance specifications

Devstral Medium

QwQ-32B-Preview
Performance comparison across key benchmark categories

Devstral Medium

QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Devstral Medium

QwQ-32B-Preview