Model Comparison

o1-pro vs Qwen3-235B-A22B-Instruct-2507

o1-pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

o1-pro outperforms in 1 benchmarks (GPQA), while Qwen3-235B-A22B-Instruct-2507 is better at 0 benchmarks.

o1-pro significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o1-pro
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

OpenAI
o1-pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o1-pro supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1-pro

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

o1-pro is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-pro was released on 2024-12-17, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 7 months newer than o1-pro.

o1-pro

Dec 17, 2024

1.3 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

8 months ago

7mo newer

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

o1-pro

Sep 2023

Qwen3-235B-A22B-Instruct-2507

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Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher GPQA score (79.0% vs 77.5%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-pro
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about o1-pro vs Qwen3-235B-A22B-Instruct-2507

o1-pro significantly outperforms across most benchmarks. o1-pro is made by OpenAI and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.
o1-pro supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o1-pro is developed by OpenAI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.