Model Comparison

Claude 3.7 Sonnet vs Qwen2.5 VL 32B Instruct

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, MMMU), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Thu May 07 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Claude 3.7 Sonnet

Input200,000 tokens

Output128,000 tokens

Qwen2.5 VL 32B Instruct

Input- tokens

Output- tokens

Thu May 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.7 Sonnet and Qwen2.5 VL 32B Instruct 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

Qwen2.5 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

Claude 3.7 Sonnet

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 0 month newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.2 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.2 years ago

4d 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

Claude 3.7 Sonnet

View details

Anthropic

Larger context window (200,000 tokens)

Higher GPQA score (84.8% vs 46.0%)

Higher MMMU score (75.0% vs 70.0%)

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Claude 3.7 Sonnet

Qwen2.5 VL 32B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Claude 3.7 Sonnet	Qwen2.5 VL 32B Instruct

FAQ

Common questions about Claude 3.7 Sonnet vs Qwen2.5 VL 32B Instruct.

Which is better, Claude 3.7 Sonnet or Qwen2.5 VL 32B Instruct?

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet is made by Anthropic and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3.7 Sonnet compare to Qwen2.5 VL 32B Instruct in benchmarks?

Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Claude 3.7 Sonnet and Qwen2.5 VL 32B Instruct?

Claude 3.7 Sonnet supports 200K tokens and Qwen2.5 VL 32B Instruct 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 Claude 3.7 Sonnet and Qwen2.5 VL 32B Instruct?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and Qwen2.5 VL 32B Instruct?

Claude 3.7 Sonnet is developed by Anthropic and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.