Model Comparison

GPT-4 vs Qwen2.5 VL 32B InstructWhich is better in 2026?

Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Verdict: GPT-4 vs Qwen2.5 VL 32B Instruct — which is better?

GPT-4 (by OpenAI) and Qwen2.5 VL 32B Instruct (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.

GPT-4 outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH). Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Choose GPT-4 if…

  • you want predictable pricing at $30.00/M input and $60.00/M output

Choose Qwen2.5 VL 32B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Feb 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).

Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4 and Qwen2.5 VL 32B Instruct support multimodal inputs.

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

GPT-4

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

GPT-4

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 21 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.0 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.3 years ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.

GPT-4

Dec 2022

Qwen2.5 VL 32B Instruct

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (32,768 tokens)
Higher MMLU score (86.4% vs 78.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (46.0% vs 35.7%)
Higher HumanEval score (91.5% vs 67.0%)
Higher MATH score (82.2% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about GPT-4 vs Qwen2.5 VL 32B Instruct.

Which is better, GPT-4 or Qwen2.5 VL 32B Instruct?

Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks. GPT-4 is made by OpenAI and Qwen2.5 VL 32B Instruct 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 GPT-4 compare to Qwen2.5 VL 32B Instruct in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for GPT-4 and Qwen2.5 VL 32B Instruct?

GPT-4 supports 33K tokens and Qwen2.5 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4 and Qwen2.5 VL 32B Instruct?

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

Who makes GPT-4 and Qwen2.5 VL 32B Instruct?

GPT-4 is developed by OpenAI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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