GPT-4o vs Qwen3.5-27B Comparison
Comparing GPT-4o and Qwen3.5-27B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 1 benchmarks (AI2D), while Qwen3.5-27B is better at 11 benchmarks (CharXiv-R, ERQA, GPQA, Humanity's Last Exam, IFEval, MMLU-Pro, MMMLU, MMMU, MMMU-Pro, SWE-Bench Verified, VideoMMMU).
Qwen3.5-27B significantly outperforms across most 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 GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4o and Qwen3.5-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3.5-27B
License
Usage and distribution terms
GPT-4o 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
GPT-4o was released on 2024-08-06, while Qwen3.5-27B was released on 2026-02-24.
Qwen3.5-27B is 19 months newer than GPT-4o.
Aug 6, 2024
1.6 years ago
Feb 24, 2026
2 weeks ago
1.6yr 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
GPT-4o
View detailsOpenAI
Qwen3.5-27B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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