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

GPT-4 Turbo and Qwen2-VL-72B-Instruct are closely matched at 9.1 and 14.5 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4 Turbo and Qwen2-VL-72B-Instruct are closely matched on the overall LLM Stats Score at 9.1 and 14.5.

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 Qwen2-VL-72B-Instruct

  • 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 Turbo
OpenAI
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
9.1
#261
14.5
#224
Reasoning
9.2
#253
11.9
#238
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000
—

Individual benchmarks

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

No common benchmarks found

GPT-4 Turbo 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 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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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 Turbo

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

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

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

GPT-4 Turbo

Dec 2023

6 mo newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

GPT-4 Turbo and Qwen2-VL-72B-Instruct are closely matched on the LLM Stats Score at 9.1 and 14.5. GPT-4 Turbo 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 Turbo compare to Qwen2-VL-72B-Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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 Turbo and Qwen2-VL-72B-Instruct?

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

Key differences include LLM Stats Score (9.1 vs 14.5), multimodal support (no vs yes), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

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

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

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