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GPT-4o vs Qwen2 72B Instruct

GPT-4o leads the LLM Stats Score 14.4 to 6.0.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.4 to 6.0, ranking #221 overall.

In the 3 individual benchmarks reported for both models, GPT-4o wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-4o

  • overall performance matters — it scores 14.4 and ranks #221 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2024

Choose Qwen2 72B Instruct

  • your work emphasizes coding — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
14.4
#221
6.0
#278
16.1
#203
5.9
#275
-0.3
#230
9.9
#156
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o
Qwen2 72B Instruct
12.8#223
11.3#236
16.4#108
8.3#148
16.4#91
6.4#139
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 17 for Qwen2 72B Instruct

3 shared

GPT-4o outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2 72B Instruct is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Tue Sep 01 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-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 72B Instruct
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-4o

Text
Images
Audio
Video

Qwen2 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2 72B Instruct was released on 2024-07-23.

GPT-4o is 0 month newer than Qwen2 72B Instruct.

GPT-4o

Aug 6, 2024

2.1 years ago

2w newer
Qwen2 72B Instruct

Jul 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

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

FAQ

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

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

GPT-4o leads the LLM Stats Score 14.4 to 6.0. GPT-4o 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-4o compare to Qwen2 72B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. 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-4o and Qwen2 72B Instruct?

GPT-4o supports 128K 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-4o and Qwen2 72B Instruct?

Key differences include LLM Stats Score (14.4 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-4o and Qwen2 72B Instruct?

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