Model Comparison

GPT-5 vs Qwen3 VL 32B Instruct

GPT-5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5 outperforms in 6 benchmarks (AIME 2025, CharXiv-R, ERQA, GPQA, MMLU, MMMU-Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

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

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-5

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 is licensed under a proprietary license, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

GPT-5

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

GPT-5

Aug 7, 2025

8 months ago

Qwen3 VL 32B Instruct

Sep 22, 2025

6 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 32B Instruct's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

GPT-5

Sep 2024

Qwen3 VL 32B Instruct

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Higher AIME 2025 score (94.6% vs 66.2%)
Higher CharXiv-R score (81.1% vs 62.8%)
Higher ERQA score (65.7% vs 48.8%)
Higher GPQA score (85.7% vs 68.9%)
Higher MMLU score (92.5% vs 86.4%)
Higher MMMU-Pro score (78.4% vs 65.3%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about GPT-5 vs Qwen3 VL 32B Instruct

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and Qwen3 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.
GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.
GPT-5 supports 400K tokens and Qwen3 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.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5 is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.