Model Comparison

Claude Sonnet 4.5 vs Qwen3 VL 32B Thinking

Claude Sonnet 4.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Claude Sonnet 4.5 outperforms in 3 benchmarks (AIME 2025, GPQA, OSWorld), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Claude Sonnet 4.5 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.5 specifies input context (200,000 tokens). Only Claude Sonnet 4.5 specifies output context (64,000 tokens).

Claude Sonnet 4.5

Input200,000 tokens

Output64,000 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Sonnet 4.5 and Qwen3 VL 32B Thinking support multimodal inputs.

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

Claude Sonnet 4.5

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Claude Sonnet 4.5 is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

Claude Sonnet 4.5

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.5 was released on 2025-09-29, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Claude Sonnet 4.5 is 0 month newer than Qwen3 VL 32B Thinking.

Claude Sonnet 4.5

Sep 29, 2025

7 months ago

1w newer

Qwen3 VL 32B Thinking

Sep 22, 2025

7 months ago

Knowledge Cutoff

When training data ends

Claude Sonnet 4.5 has a documented knowledge cutoff of 2025-01-31, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Claude Sonnet 4.5's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Claude Sonnet 4.5

Jan 2025

Qwen3 VL 32B Thinking

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Outputs Comparison

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Key Takeaways

Claude Sonnet 4.5

View details

Anthropic

Larger context window (200,000 tokens)

Higher AIME 2025 score (87.0% vs 83.7%)

Higher GPQA score (83.4% vs 73.1%)

Higher OSWorld score (61.4% vs 41.0%)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Claude Sonnet 4.5	Qwen3 VL 32B Thinking

FAQ

Common questions about Claude Sonnet 4.5 vs Qwen3 VL 32B Thinking.

Which is better, Claude Sonnet 4.5 or Qwen3 VL 32B Thinking?

Claude Sonnet 4.5 significantly outperforms across most benchmarks. Claude Sonnet 4.5 is made by Anthropic and Qwen3 VL 32B Thinking 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 Sonnet 4.5 compare to Qwen3 VL 32B Thinking in benchmarks?

Claude Sonnet 4.5 scores MMMLU: 89.1%, AIME 2025: 87.0%, TAU-bench Retail: 86.2%, GPQA: 83.4%, MMMUval: 77.8%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Claude Sonnet 4.5 and Qwen3 VL 32B Thinking?

Claude Sonnet 4.5 supports 200K tokens and Qwen3 VL 32B Thinking 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 Sonnet 4.5 and Qwen3 VL 32B Thinking?

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

Who makes Claude Sonnet 4.5 and Qwen3 VL 32B Thinking?

Claude Sonnet 4.5 is developed by Anthropic and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.