Model Comparison

o1-preview vs Qwen3 VL 32B Instruct

o1-preview significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1-preview outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

o1-preview significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).

OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas o1-preview does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1-preview

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

o1-preview 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.

o1-preview

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-preview was released on 2024-09-12, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 13 months newer than o1-preview.

o1-preview

Sep 12, 2024

1.7 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

7 months ago

1.0yr 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

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (73.3% vs 68.9%)
Higher MMLU score (90.8% vs 86.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-preview
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about o1-preview vs Qwen3 VL 32B Instruct.

Which is better, o1-preview or Qwen3 VL 32B Instruct?

o1-preview significantly outperforms across most benchmarks. o1-preview 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 o1-preview compare to Qwen3 VL 32B Instruct in benchmarks?

o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%. 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 o1-preview and Qwen3 VL 32B Instruct?

o1-preview 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 o1-preview 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 o1-preview and Qwen3 VL 32B Instruct?

o1-preview is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.