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GPT-4o vs QvQ-72B-Preview

GPT-4o and QvQ-72B-Preview are closely matched at 14.3 and 8.0 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4o and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 14.3 and 8.0.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose GPT-4o

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

GPT-4o
OpenAI
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
14.3
#226
8.0
#271
Reasoning
16.0
#207
8.3
#264
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
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
QvQ-72B-Preview
Math
12.7#225
9.8#245
Vision
8.9#129
6.8#141
Multimodal
12.6#103
10.1#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 4 for QvQ-72B-Preview

2 shared

GPT-4o outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 1 benchmark (MathVista).

Both models are evenly matched across the benchmarks.

Tue Sep 08 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
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o and QvQ-72B-Preview support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

GPT-4o

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 5 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

2.1 years ago

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

4mo newer

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 QvQ-72B-Preview side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about GPT-4o vs QvQ-72B-Preview.

Which is better, GPT-4o or QvQ-72B-Preview?

GPT-4o and QvQ-72B-Preview are closely matched on the LLM Stats Score at 14.3 and 8.0. GPT-4o is made by OpenAI and QvQ-72B-Preview 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 QvQ-72B-Preview in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for GPT-4o and QvQ-72B-Preview?

GPT-4o supports 128K tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

Key differences include LLM Stats Score (14.3 vs 8.0), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and QvQ-72B-Preview?

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

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