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Qwen2 72B Instruct vs Qwen3 VL 30B A3B Thinking

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

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2 72B Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Qwen2 72B Instruct

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

Choose Qwen3 VL 30B A3B Thinking

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
131,072
Released
Jul 2024
Sep 2025
License
tongyi-qianwen
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen2 72B Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

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

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

41.0B diff

Qwen2 72B Instruct has 41.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 132.3% larger.

Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
72.0B
Qwen2 72B Instruct
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
Qwen2 72B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2 72B Instruct

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2 72B Instruct is licensed under tongyi-qianwen, 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.

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2 72B Instruct was released on 2024-07-23, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 14 months newer than Qwen2 72B Instruct.

Qwen2 72B Instruct

Jul 23, 2024

2.1 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

11 months ago

1.2yr 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

Judge for yourself.

Run your own prompts against Qwen2 72B Instruct and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Qwen2 72B Instruct
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

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

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

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Qwen2 72B Instruct 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 Qwen2 72B Instruct compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%. 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 Qwen2 72B Instruct and Qwen3 VL 30B A3B Thinking?

Qwen2 72B Instruct 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 Qwen2 72B Instruct and Qwen3 VL 30B A3B Thinking?

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