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GPT-4 Turbo vs QvQ-72B-Preview

GPT-4 Turbo and QvQ-72B-Preview are closely matched at 9.1 and 8.0 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4 Turbo and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 9.1 and 8.0.

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

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/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.

Core performance indexes
9.1
#261
8.0
#271
9.2
#253
8.3
#264
Cost, coverage & limits
Benchmark wins
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
QvQ-72B-Preview
17.4#189
9.8#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 4 for QvQ-72B-Preview

No common benchmarks found

GPT-4 Turbo and QvQ-72B-Previewdon'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 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas GPT-4 Turbo does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 9 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

GPT-4 Turbo

Dec 2023

QvQ-72B-Preview

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

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

FAQ

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

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

GPT-4 Turbo and QvQ-72B-Preview are closely matched on the LLM Stats Score at 9.1 and 8.0. GPT-4 Turbo 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-4 Turbo compare to QvQ-72B-Preview in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

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

GPT-4 Turbo 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-4 Turbo and QvQ-72B-Preview?

Key differences include LLM Stats Score (9.1 vs 8.0), multimodal support (no vs yes), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

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

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