Model Comparison

GPT-4 vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4 outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (GPQA, MMLU).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Tue Jun 02 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).

GPT-4

Input32,768 tokens

Output32,768 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4 and Qwen3 VL 32B Thinking support multimodal inputs.

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

GPT-4

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 28 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.0 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

2.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen3 VL 32B Thinking'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 Qwen3 VL 32B Thinking's cutoff date.

GPT-4

Dec 2022

Qwen3 VL 32B Thinking

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Outputs Comparison

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Key Takeaways

GPT-4

View details

OpenAI

Larger context window (32,768 tokens)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher GPQA score (73.1% vs 35.7%)

Higher MMLU score (88.7% vs 86.4%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4	Qwen3 VL 32B Thinking

FAQ

Common questions about GPT-4 vs Qwen3 VL 32B Thinking.

Which is better, GPT-4 or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and Qwen3 VL 32B 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 GPT-4 compare to Qwen3 VL 32B Thinking 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%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for GPT-4 and Qwen3 VL 32B Thinking?

GPT-4 supports 33K tokens and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking?

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

Who makes GPT-4 and Qwen3 VL 32B Thinking?

GPT-4 is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.