Model Comparison

Claude 3.5 Sonnet vs Qwen3 VL 32B Thinking

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.5 Sonnet outperforms in 2 benchmarks (AI2D, MMLU), while Qwen3 VL 32B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.5 Sonnet specifies input context (200,000 tokens). Only Claude 3.5 Sonnet specifies output context (200,000 tokens).

Claude 3.5 Sonnet

Input200,000 tokens

Output200,000 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.5 Sonnet and Qwen3 VL 32B Thinking support multimodal inputs.

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

Claude 3.5 Sonnet

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Claude 3.5 Sonnet 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 3.5 Sonnet

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.5 Sonnet was released on 2024-10-22, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 11 months newer than Claude 3.5 Sonnet.

Claude 3.5 Sonnet

Oct 22, 2024

1.6 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

11mo 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Claude 3.5 Sonnet

View details

Anthropic

Larger context window (200,000 tokens)

Higher AI2D score (94.7% vs 88.9%)

Higher MMLU score (90.4% vs 88.7%)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher GPQA score (73.1% vs 67.2%)

Higher MMLU-Pro score (82.1% vs 77.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Claude 3.5 Sonnet	Qwen3 VL 32B Thinking

FAQ

Common questions about Claude 3.5 Sonnet vs Qwen3 VL 32B Thinking.

Which is better, Claude 3.5 Sonnet or Qwen3 VL 32B Thinking?

Both models are evenly matched across the benchmarks. Claude 3.5 Sonnet 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 3.5 Sonnet compare to Qwen3 VL 32B Thinking in benchmarks?

Claude 3.5 Sonnet scores GSM8k: 96.4%, DocVQA: 95.2%, AI2D: 94.7%, HumanEval: 93.7%, BIG-Bench Hard: 93.1%. 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 3.5 Sonnet and Qwen3 VL 32B Thinking?

Claude 3.5 Sonnet 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 3.5 Sonnet 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 3.5 Sonnet and Qwen3 VL 32B Thinking?

Claude 3.5 Sonnet is developed by Anthropic and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.