Model Comparison

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

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

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

GPT-4o (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-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Choose GPT-4o if…

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose Qwen3 VL 32B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Mon Jun 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Mon Jun 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Qwen3 VL 32B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 17 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.1 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

9 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher MMLU score (88.7% vs 86.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (68.9% vs 53.6%)
Higher MMLU-Pro score (78.6% vs 72.6%)
OpenAIGPT-4o
Alibaba Cloud / Qwen TeamQwen3 VL 32B Instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

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

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

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks. GPT-4o 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-4o compare to Qwen3 VL 32B Instruct in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. 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-4o and Qwen3 VL 32B Instruct?

GPT-4o 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-4o and Qwen3 VL 32B Instruct?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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