Model Comparison

Claude 3.7 Sonnet vs QvQ-72B-Preview

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 0 benchmarks.

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
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→

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.7 Sonnet and QvQ-72B-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3.7 Sonnet

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet 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.

Claude 3.7 Sonnet

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while QvQ-72B-Preview was released on 2024-12-25.

Claude 3.7 Sonnet is 2 months newer than QvQ-72B-Preview.

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

2mo newer
QvQ-72B-Preview

Dec 25, 2024

1.3 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

Anthropic
Larger context window (200,000 tokens)
Higher MMMU score (75.0% vs 70.3%)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights
AnthropicClaude 3.7 Sonnet
Alibaba Cloud / Qwen TeamQvQ-72B-Preview
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Claude 3.7 Sonnet vs QvQ-72B-Preview

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet is made by Anthropic and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
Claude 3.7 Sonnet supports 200K 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 licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.