Model Comparison

GPT-3.5 Turbo vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Verdict: GPT-3.5 Turbo vs Qwen2.5 VL 72B Instruct — which is better?

GPT-3.5 Turbo (by OpenAI) and Qwen2.5 VL 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 1 benchmark (MMMU). Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Qwen2.5 VL 72B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 1 benchmark (MMMU).

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

GPT-3.5 Turbo

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 23 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.3 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.4 years ago

1.9yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

GPT-3.5 Turbo

Sep 2021

Qwen2.5 VL 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (16,385 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher MMMU score (70.2% vs 0.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about GPT-3.5 Turbo vs Qwen2.5 VL 72B Instruct.

Which is better, GPT-3.5 Turbo or Qwen2.5 VL 72B Instruct?

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Qwen2.5 VL 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-3.5 Turbo compare to Qwen2.5 VL 72B Instruct in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for GPT-3.5 Turbo and Qwen2.5 VL 72B Instruct?

GPT-3.5 Turbo supports 16K tokens and Qwen2.5 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-3.5 Turbo and Qwen2.5 VL 72B Instruct?

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

Who makes GPT-3.5 Turbo and Qwen2.5 VL 72B Instruct?

GPT-3.5 Turbo is developed by OpenAI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.