Model Comparison

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

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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

GPT-4o (by OpenAI) and Qwen3 VL 32B Thinking (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 (AI2D), while Qwen3 VL 32B Thinking is better at 11 benchmarks (CharXiv-D, CharXiv-R, ERQA, GPQA, IFEval, MMLU, MMLU-Pro, MMMU-Pro, Multi-IF, SimpleQA, VideoMMMU). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose GPT-4o if…

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

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 11 of 12 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

12 benchmarks

GPT-4o outperforms in 1 benchmarks (AI2D), while Qwen3 VL 32B Thinking is better at 11 benchmarks (CharXiv-D, CharXiv-R, ERQA, GPQA, IFEval, MMLU, MMLU-Pro, MMMU-Pro, Multi-IF, SimpleQA, VideoMMMU).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Sun Jun 14 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 (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Qwen3 VL 32B Thinking 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 Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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 Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 14 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.9 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

1.1yr 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 AI2D score (94.2% vs 88.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher CharXiv-D score (90.2% vs 85.3%)
Higher CharXiv-R score (65.2% vs 58.8%)
Higher ERQA score (52.3% vs 35.2%)
Higher GPQA score (73.1% vs 70.1%)
Higher IFEval score (87.8% vs 81.0%)
Higher MMLU score (88.7% vs 85.7%)
Higher MMLU-Pro score (82.1% vs 74.7%)
Higher MMMU-Pro score (68.1% vs 59.9%)
Higher Multi-IF score (78.0% vs 60.9%)
Higher SimpleQA score (55.4% vs 38.2%)
Higher VideoMMMU score (79.0% vs 61.2%)

Detailed Comparison

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

FAQ

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

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

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Qwen3 VL 32B Thinking 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 Thinking in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

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

GPT-4o supports 128K tokens and Qwen3 VL 32B Thinking 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 Thinking?

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 Thinking?

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

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