Model Comparison

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

o1 shows notably better performance in the majority of benchmarks.

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

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

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

o1 shows notably better performance in the majority of benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

o1

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

o1 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

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 9 months newer than o1.

o1

Dec 17, 2024

1.6 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

9mo 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 (200,000 tokens)
Higher GPQA score (78.0% vs 73.1%)
Higher MMLU score (91.8% 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 47.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about o1 vs Qwen3 VL 32B Thinking.

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

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

o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. 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 and Qwen3 VL 32B Thinking?

o1 supports 200K 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 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 and Qwen3 VL 32B Thinking?

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

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