o1 vs Qwen3.5-27B Comparison
Comparing o1 and Qwen3.5-27B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
o1 outperforms in 1 benchmarks (MMMLU), while Qwen3.5-27B is better at 3 benchmarks (GPQA, MMMU, SWE-Bench Verified).
Qwen3.5-27B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-27B supports multimodal inputs, whereas o1 does not.
Qwen3.5-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1
Qwen3.5-27B
License
Usage and distribution terms
o1 is licensed under a proprietary license, while Qwen3.5-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
o1 was released on 2024-12-17, while Qwen3.5-27B was released on 2026-02-24.
Qwen3.5-27B is 14 months newer than o1.
Dec 17, 2024
1.2 years ago
Feb 24, 2026
2 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
Qwen3.5-27B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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