Model Comparison

Qwen2-VL-72B-Instruct vs Qwen3 30B A3BWhich is better in 2026?

Comparing Qwen2-VL-72B-Instruct and Qwen3 30B A3B across benchmarks, pricing, and capabilities.

Verdict: Qwen2-VL-72B-Instruct vs Qwen3 30B A3B — which is better?

Qwen2-VL-72B-Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 30B A3B (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 Qwen2-VL-72B-Instruct if…

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

Choose Qwen3 30B A3B if…

  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2-VL-72B-Instruct and Qwen3 30B A3Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

42.9B diff

Qwen2-VL-72B-Instruct has 42.9B more parameters than Qwen3 30B A3B, making it 140.7% larger.

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
30.5Bparameters
73.4B
Qwen2-VL-72B-Instruct
30.5B
Qwen3 30B A3B

Context Window

Maximum input and output token capacity

Only Qwen3 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Qwen3 30B A3B does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

Qwen3 30B A3B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2-VL-72B-Instruct is licensed under tongyi-qianwen, while Qwen3 30B A3B uses Apache 2.0.

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

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2-VL-72B-Instruct was released on 2024-08-29, while Qwen3 30B A3B was released on 2025-04-29.

Qwen3 30B A3B is 8 months newer than Qwen2-VL-72B-Instruct.

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Qwen3 30B A3B

Apr 29, 2025

1.1 years ago

8mo newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen3 30B A3B's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Qwen3 30B A3B's cutoff date.

Qwen2-VL-72B-Instruct

Jun 2023

Qwen3 30B A3B

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen3 30B A3B

FAQ

Common questions about Qwen2-VL-72B-Instruct vs Qwen3 30B A3B.

Which is better, Qwen2-VL-72B-Instruct or Qwen3 30B A3B?

Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) and Qwen3 30B A3B (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 Qwen2-VL-72B-Instruct compare to Qwen3 30B A3B in benchmarks?

Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%. Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.

What are the context window sizes for Qwen2-VL-72B-Instruct and Qwen3 30B A3B?

Qwen2-VL-72B-Instruct supports an unknown number of tokens and Qwen3 30B A3B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2-VL-72B-Instruct and Qwen3 30B A3B?

Key differences include multimodal support (yes vs no), licensing (tongyi-qianwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.