Model Comparison

GPT-4o vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 2 benchmarks (ChartQA, EgoSchema).

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks.

Sat Apr 18 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
Sat Apr 18 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Qwen2-VL-72B-Instruct support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

3w newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while GPT-4o's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher MMMU-Pro score (59.9% vs 46.2%)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher ChartQA score (88.3% vs 85.7%)
Higher EgoSchema score (77.9% vs 72.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about GPT-4o vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks. GPT-4o is made by OpenAI and Qwen2-VL-72B-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-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
GPT-4o supports 128K 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-4o is developed by OpenAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.