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GPT-4 vs Qwen2 72B Instruct

GPT-4 and Qwen2 72B Instruct are closely matched at 3.2 and 6.0 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4 and Qwen2 72B Instruct are closely matched on the overall LLM Stats Score at 3.2 and 6.0.

The models split the 6 individual benchmarks reported for both models evenly.

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 72B Instruct

  • you want the most recent training data — it shipped Jul 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
3.2
#298
6.0
#283
3.3
#289
5.8
#279
-5.1
#251
9.9
#161
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Qwen2 72B Instruct
8.8#251
11.3#238
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 17 for Qwen2 72B Instruct

6 shared

GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Qwen2 72B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).

Both models are evenly matched across the benchmarks.

Mon Sep 07 2026 • llm-stats.com

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 72B Instruct
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Qwen2 72B Instruct does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Qwen2 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Qwen2 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 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2 72B Instruct is 14 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.2 years ago

Qwen2 72B Instruct

Jul 23, 2024

2.1 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2 72B Instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Qwen2 72B Instruct's cutoff date.

GPT-4

Dec 2022

Qwen2 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

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

FAQ

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

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

GPT-4 and Qwen2 72B Instruct are closely matched on the LLM Stats Score at 3.2 and 6.0. GPT-4 is made by OpenAI and Qwen2 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 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 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

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

GPT-4 supports 33K tokens and Qwen2 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 72B Instruct?

Key differences include LLM Stats Score (3.2 vs 6.0), multimodal support (yes vs no), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Qwen2 72B Instruct?

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