Model Comparison

GPT-5 mini vs Qwen2-VL-72B-Instruct

Comparing GPT-5 mini and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 mini and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5 mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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).

OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 mini and Qwen2-VL-72B-Instruct support multimodal inputs.

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

GPT-5 mini

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 mini is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

GPT-5 mini

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

GPT-5 mini is 11 months newer than Qwen2-VL-72B-Instruct.

GPT-5 mini

Aug 7, 2025

8 months ago

11mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a knowledge cutoff of 2024-05-30, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

GPT-5 mini has more recent training data (up to 2024-05-30), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

GPT-5 mini

May 2024

11 mo newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 mini
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about GPT-5 mini vs Qwen2-VL-72B-Instruct

GPT-5 mini (OpenAI) and Qwen2-VL-72B-Instruct (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.
GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
GPT-5 mini supports 400K tokens and Qwen2-VL-72B-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 tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
GPT-5 mini is developed by OpenAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.