Model Comparison

QvQ-72B-Preview vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Verdict: QvQ-72B-Preview vs Qwen3 VL 30B A3B Thinking — which is better?

QvQ-72B-Preview (by Alibaba Cloud / Qwen Team) and Qwen3 VL 30B A3B 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.

QvQ-72B-Preview outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (MathVision). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Choose QvQ-72B-Preview if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3 VL 30B A3B Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

QvQ-72B-Preview outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (MathVision).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

42.4B diff

QvQ-72B-Preview has 42.4B more parameters than Qwen3 VL 30B A3B Thinking, making it 136.8% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
73.4B
QvQ-72B-Preview
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both QvQ-72B-Preview and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

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

QvQ-72B-Preview

Qwen

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 9 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.4 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

8 months ago

9mo 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

Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher MathVision score (65.7% vs 35.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking

FAQ

Common questions about QvQ-72B-Preview vs Qwen3 VL 30B A3B Thinking.

Which is better, QvQ-72B-Preview or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen3 VL 30B A3B 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 QvQ-72B-Preview compare to Qwen3 VL 30B A3B Thinking in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for QvQ-72B-Preview and Qwen3 VL 30B A3B Thinking?

QvQ-72B-Preview supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between QvQ-72B-Preview and Qwen3 VL 30B A3B Thinking?

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