Model Comparison

Claude Opus 4.6 vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Claude Opus 4.6 significantly outperforms across most benchmarks.

Verdict: Claude Opus 4.6 vs Qwen3 VL 32B Thinking — which is better?

Claude Opus 4.6 (by Anthropic) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude Opus 4.6 outperforms in 5 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, OSWorld), while Qwen3 VL 32B Thinking is better at 0 benchmarks. Claude Opus 4.6 significantly outperforms across most benchmarks.

Choose Claude Opus 4.6 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Qwen3 VL 32B Thinking if…

  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude Opus 4.6 outperforms in 5 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, OSWorld), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Claude Opus 4.6 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Opus 4.6 specifies input context (1,000,000 tokens). Only Claude Opus 4.6 specifies output context (128,000 tokens).

Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.6 and Qwen3 VL 32B Thinking support multimodal inputs.

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

Claude Opus 4.6

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.6 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 Opus 4.6

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Claude Opus 4.6 is 5 months newer than Qwen3 VL 32B Thinking.

Claude Opus 4.6

Feb 5, 2026

4 months ago

4mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

8 months 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 (1,000,000 tokens)
Higher AIME 2025 score (99.8% vs 83.7%)
Higher CharXiv-R score (77.4% vs 65.2%)
Higher GPQA score (91.3% vs 73.1%)
Higher MMMU-Pro score (77.3% vs 68.1%)
Higher OSWorld score (72.7% vs 41.0%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.6
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Claude Opus 4.6 vs Qwen3 VL 32B Thinking.

Which is better, Claude Opus 4.6 or Qwen3 VL 32B Thinking?

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude Opus 4.6 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 Opus 4.6 compare to Qwen3 VL 32B Thinking in benchmarks?

Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, MRCR v2 (8-needle): 93.0%. 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 Opus 4.6 and Qwen3 VL 32B Thinking?

Claude Opus 4.6 supports 1.0M 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 Opus 4.6 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 Opus 4.6 and Qwen3 VL 32B Thinking?

Claude Opus 4.6 is developed by Anthropic and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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