Model Comparison

Mistral Small vs QvQ-72B-Preview

Comparing Mistral Small and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Small 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

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

51.4B diff

QvQ-72B-Preview has 51.4B more parameters than Mistral Small, making it 233.6% larger.

Mistral AI
Mistral Small
22.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
22.0B
Mistral Small
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Mistral Small does not.

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

Mistral Small

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while QvQ-72B-Preview uses Qwen.

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

Mistral Small

Mistral Research License

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 3 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

1.6 years ago

QvQ-72B-Preview

Dec 25, 2024

1.3 years ago

3mo newer

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

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Key Takeaways

Mistral AI
Larger context window (32,768 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

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

FAQ

Common questions about Mistral Small vs QvQ-72B-Preview

Mistral Small (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.
QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
Mistral Small supports 33K 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.
Key differences include multimodal support (no vs yes), licensing (Mistral Research License vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Mistral Small is developed by Mistral AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.