Model Comparison

Devstral Medium vs QvQ-72B-Preview

Comparing Devstral Medium and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Devstral Medium specifies input context (128,000 tokens). Only Devstral Medium specifies output context (128,000 tokens).

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Devstral Medium does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Medium

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Devstral Medium

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while QvQ-72B-Preview was released on 2024-12-25.

Devstral Medium is 7 months newer than QvQ-72B-Preview.

Devstral Medium

Jul 10, 2025

10 months ago

6mo newer
QvQ-72B-Preview

Dec 25, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Devstral Medium vs QvQ-72B-Preview.

Which is better, Devstral Medium or QvQ-72B-Preview?

Devstral Medium (Mistral AI) and QvQ-72B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Devstral Medium compare to QvQ-72B-Preview in benchmarks?

Devstral Medium scores SWE-Bench Verified: 61.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Devstral Medium and QvQ-72B-Preview?

Devstral Medium supports 128K tokens and QvQ-72B-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Medium and QvQ-72B-Preview?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Medium and QvQ-72B-Preview?

Devstral Medium is developed by Mistral AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.