Model Comparison

GPT-4 Turbo vs Qwen3 VL 32B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: GPT-4 Turbo vs Qwen3 VL 32B Instruct — which is better?

GPT-4 Turbo (by OpenAI) and Qwen3 VL 32B 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-4 Turbo outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

Choose GPT-4 Turbo if…

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

Choose Qwen3 VL 32B Instruct if…

  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sat Aug 01 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sat Aug 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.

Qwen3 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

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Qwen3 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

Qwen3 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 Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 18 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.3 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

10 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3 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 Qwen3 VL 32B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen3 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher MMLU score (86.5% vs 86.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher GPQA score (68.9% vs 48.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen3 VL 32B Instruct.

Which is better, GPT-4 Turbo or Qwen3 VL 32B Instruct?

Both models are evenly matched across the benchmarks. GPT-4 Turbo is made by OpenAI and Qwen3 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.

How does GPT-4 Turbo compare to Qwen3 VL 32B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for GPT-4 Turbo and Qwen3 VL 32B Instruct?

GPT-4 Turbo supports 128K tokens and Qwen3 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.

What are the main differences between GPT-4 Turbo and Qwen3 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Qwen3 VL 32B Instruct?

GPT-4 Turbo is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons