Model Comparison

GPT-5 mini vs Qwen3 VL 32B Thinking

GPT-5 mini significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5 mini outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

GPT-5 mini significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5 mini specifies input context (400,000 tokens). Only GPT-5 mini specifies output context (128,000 tokens).

GPT-5 mini

Input400,000 tokens

Output128,000 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 mini and Qwen3 VL 32B Thinking support multimodal inputs.

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

GPT-5 mini

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 mini 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-5 mini

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 2 months newer than GPT-5 mini.

GPT-5 mini

Aug 7, 2025

9 months ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

GPT-5 mini

May 2024

Qwen3 VL 32B Thinking

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Outputs Comparison

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Key Takeaways

GPT-5 mini

View details

OpenAI

Larger context window (400,000 tokens)

Higher AIME 2025 score (91.1% vs 83.7%)

Higher GPQA score (82.3% vs 73.1%)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5 mini	Qwen3 VL 32B Thinking

FAQ

Common questions about GPT-5 mini vs Qwen3 VL 32B Thinking.

Which is better, GPT-5 mini or Qwen3 VL 32B Thinking?

GPT-5 mini significantly outperforms across most benchmarks. GPT-5 mini 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-5 mini compare to Qwen3 VL 32B Thinking in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. 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-5 mini and Qwen3 VL 32B Thinking?

GPT-5 mini supports 400K 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-5 mini 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-5 mini and Qwen3 VL 32B Thinking?

GPT-5 mini is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.