Model Comparison

Qwen2-VL-72B-Instruct vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Comparing Qwen2-VL-72B-Instruct and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.

Verdict: Qwen2-VL-72B-Instruct vs Qwen3-235B-A22B-Instruct-2507 — which is better?

Qwen2-VL-72B-Instruct (by Alibaba Cloud / Qwen Team) and Qwen3-235B-A22B-Instruct-2507 (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 Qwen3-235B-A22B-Instruct-2507 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2-VL-72B-Instruct and Qwen3-235B-A22B-Instruct-2507don'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

161.6B diff

Qwen3-235B-A22B-Instruct-2507 has 161.6B more parameters than Qwen2-VL-72B-Instruct, making it 220.2% larger.

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
73.4B
Qwen2-VL-72B-Instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2-VL-72B-Instruct is licensed under tongyi-qianwen, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2-VL-72B-Instruct was released on 2024-08-29, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 11 months newer than Qwen2-VL-72B-Instruct.

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

11 months ago

10mo newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Qwen2-VL-72B-Instruct

Jun 2023

Qwen3-235B-A22B-Instruct-2507

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Larger context window (262,144 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen2-VL-72B-Instruct and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Qwen2-VL-72B-Instruct
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Qwen2-VL-72B-Instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Qwen2-VL-72B-Instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) and Qwen3-235B-A22B-Instruct-2507 (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 Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Qwen2-VL-72B-Instruct and Qwen3-235B-A22B-Instruct-2507?

Qwen2-VL-72B-Instruct supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

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.