Model Comparison

o1-preview vs Qwen3 VL 32B ThinkingWhich is better in 2026?

o1-preview shows notably better performance in the majority of benchmarks.

Verdict: o1-preview vs Qwen3 VL 32B Thinking — which is better?

o1-preview (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.

o1-preview outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 VL 32B Thinking is better at 1 benchmark (SimpleQA). o1-preview shows notably better performance in the majority of benchmarks.

Choose o1-preview if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Qwen3 VL 32B Thinking 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

3 benchmarks

o1-preview outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 VL 32B Thinking is better at 1 benchmark (SimpleQA).

o1-preview shows notably better performance in the majority of benchmarks.

Fri Jul 10 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 Thinking
Input- tokens
Output- tokens
Fri Jul 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Qwen3 VL 32B Thinking 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 Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

o1-preview 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.

o1-preview

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

o1-preview

Sep 12, 2024

1.8 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

9 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (73.3% vs 73.1%)
Higher MMLU score (90.8% vs 88.7%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher SimpleQA score (55.4% vs 42.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against o1-preview and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

o1-preview
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
OpenAI
o1-preview
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

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

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

o1-preview shows notably better performance in the majority of benchmarks. o1-preview 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 o1-preview compare to Qwen3 VL 32B Thinking in benchmarks?

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

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

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 Thinking?

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

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