Model Comparison

Qwen2-VL-72B-Instruct vs Qwen3.8 MaxWhich is better in 2026?

Qwen3.8 Max significantly outperforms across most benchmarks.

Verdict: Qwen2-VL-72B-Instruct vs Qwen3.8 Max — which is better?

Qwen2-VL-72B-Instruct (by Alibaba Cloud / Qwen Team) and Qwen3.8 Max (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.

Qwen2-VL-72B-Instruct outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (MMMU-Pro, RealWorldQA). Qwen3.8 Max significantly outperforms across most benchmarks.

Choose Qwen2-VL-72B-Instruct if…

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Max if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2-VL-72B-Instruct outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (MMMU-Pro, RealWorldQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Tue Aug 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2326.6B diff

Qwen3.8 Max has 2326.6B more parameters than Qwen2-VL-72B-Instruct, making it 3169.8% larger.

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
73.4B
Qwen2-VL-72B-Instruct
2400.0B
Qwen3.8 Max

Input Capabilities

Supported data types and modalities

Both Qwen2-VL-72B-Instruct and Qwen3.8 Max support multimodal inputs.

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

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2-VL-72B-Instruct is licensed under tongyi-qianwen, while Qwen3.8 Max uses a proprietary license.

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

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen2-VL-72B-Instruct was released on 2024-08-29, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 23 months newer than Qwen2-VL-72B-Instruct.

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.9 years ago

Qwen3.8 Max

Aug 2, 2026

2 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen3.8 Max'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 Qwen3.8 Max's cutoff date.

Qwen2-VL-72B-Instruct

Jun 2023

Qwen3.8 Max

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Higher MMMU-Pro score (82.3% vs 46.2%)
Higher RealWorldQA score (88.0% vs 77.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen2-VL-72B-Instruct and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Qwen2-VL-72B-Instruct
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about Qwen2-VL-72B-Instruct vs Qwen3.8 Max.

Which is better, Qwen2-VL-72B-Instruct or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team and Qwen3.8 Max 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-VL-72B-Instruct compare to Qwen3.8 Max in benchmarks?

Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the main differences between Qwen2-VL-72B-Instruct and Qwen3.8 Max?

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