Model Comparison

GPT-4 Turbo vs Qwen2.5 VL 32B Instruct

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 Turbo outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (HumanEval, MATH).

Both models are evenly matched across the benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.

Qwen2.5 VL 32B 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

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

GPT-4 Turbo

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 11 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.0 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.1 years ago

10mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen2.5 VL 32B Instruct'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 Qwen2.5 VL 32B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen2.5 VL 32B Instruct

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (48.0% vs 46.0%)
Higher MMLU score (86.5% vs 78.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher HumanEval score (91.5% vs 87.1%)
Higher MATH score (82.2% vs 72.6%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen2.5 VL 32B Instruct

Both models are evenly matched across the benchmarks. GPT-4 Turbo is made by OpenAI and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.
GPT-4 Turbo supports 128K tokens and Qwen2.5 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4 Turbo is developed by OpenAI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.