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

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 3.0.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 3.0, ranking #243 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4

  • you want predictable pricing at $30.00/M input and $60.00/M output

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.3 and ranks #243 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4
OpenAI
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
3.0
#316
14.3
#243
Reasoning
3.0
#309
11.6
#258
Cost, coverage & limits
Benchmark wins
—
—
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768
—

Individual benchmarks

12 reported for GPT-4 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

GPT-4 and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

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).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sat Sep 26 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-4

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 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-4

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 15 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.3 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Qwen2-VL-72B-Instruct has more recent training data (up to 2023-06-30), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

Qwen2-VL-72B-Instruct

Jun 2023

6 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-4 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

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

Which is better, GPT-4 or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 3.0. GPT-4 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 capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4 compare to Qwen2-VL-72B-Instruct 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%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for GPT-4 and Qwen2-VL-72B-Instruct?

GPT-4 supports 33K 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.

What are the main differences between GPT-4 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (3.0 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Qwen2-VL-72B-Instruct?

GPT-4 is developed by OpenAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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