The AI arena is free today

Open Superagent

o1-pro vs Qwen3 VL 235B A22B Thinking

o1-pro and Qwen3 VL 235B A22B Thinking are closely matched at 19.9 and 26.8 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

o1-pro and Qwen3 VL 235B A22B Thinking are closely matched on the overall LLM Stats Score at 19.9 and 26.8.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose o1-pro

  • you are already invested in the OpenAI ecosystem

Choose Qwen3 VL 235B A22B Thinking

  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
19.9
#189
26.8
#139
20.2
#178
27.1
#131
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
262,144

Individual benchmarks

2 reported for o1-pro · 67 for Qwen3 VL 235B A22B Thinking

No common benchmarks found

o1-pro and Qwen3 VL 235B A22B Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

OpenAI
o1-pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both o1-pro and Qwen3 VL 235B A22B Thinking support multimodal inputs.

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

o1-pro

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

o1-pro is licensed under a proprietary license, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

o1-pro

Proprietary

Closed source

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-pro was released on 2024-12-17, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 9 months newer than o1-pro.

o1-pro

Dec 17, 2024

1.7 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

11 months ago

9mo newer

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.

o1-pro

Sep 2023

Qwen3 VL 235B A22B Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against o1-pro and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

o1-pro
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about o1-pro vs Qwen3 VL 235B A22B Thinking.

Which is better, o1-pro or Qwen3 VL 235B A22B Thinking?

o1-pro and Qwen3 VL 235B A22B Thinking are closely matched on the LLM Stats Score at 19.9 and 26.8. o1-pro is made by OpenAI and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does o1-pro compare to Qwen3 VL 235B A22B Thinking in benchmarks?

o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for o1-pro and Qwen3 VL 235B A22B Thinking?

o1-pro supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o1-pro and Qwen3 VL 235B A22B Thinking?

Key differences include LLM Stats Score (19.9 vs 26.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o1-pro and Qwen3 VL 235B A22B Thinking?

o1-pro is developed by OpenAI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.