Model Comparison

Claude Opus 4.6 vs QvQ-72B-PreviewWhich is better in 2026?

Comparing Claude Opus 4.6 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: Claude Opus 4.6 vs QvQ-72B-Preview — which is better?

Claude Opus 4.6 (by Anthropic) and QvQ-72B-Preview (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.

Choose Claude Opus 4.6 if…

  • you want the most recent training data — it shipped Feb 2026

Choose QvQ-72B-Preview 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

No common benchmarks found

Claude Opus 4.6 and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.6 and QvQ-72B-Preview 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

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.6 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 Opus 4.6

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while QvQ-72B-Preview was released on 2024-12-25.

Claude Opus 4.6 is 14 months newer than QvQ-72B-Preview.

Claude Opus 4.6

Feb 5, 2026

4 months ago

1.1yr newer
QvQ-72B-Preview

Dec 25, 2024

1.5 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 (1,000,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

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
QvQ-72B-Preview

FAQ

Common questions about Claude Opus 4.6 vs QvQ-72B-Preview.

Which is better, Claude Opus 4.6 or QvQ-72B-Preview?

Claude Opus 4.6 (Anthropic) and QvQ-72B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude Opus 4.6 compare to QvQ-72B-Preview 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%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Claude Opus 4.6 and QvQ-72B-Preview?

Claude Opus 4.6 supports 1.0M 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.

What are the main differences between Claude Opus 4.6 and QvQ-72B-Preview?

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

Who makes Claude Opus 4.6 and QvQ-72B-Preview?

Claude Opus 4.6 is developed by Anthropic and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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