GPT-4o vs Qwen3.5-9B Comparison
Comparing GPT-4o and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while Qwen3.5-9B is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3.5-9B 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 (4,096 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4o and Qwen3.5-9B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3.5-9B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen3.5-9B 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 2024-05-13, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 22 months newer than GPT-4o.
May 13, 2024
1.8 years ago
Mar 2, 2026
2 weeks ago
1.8yr 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
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
GPT-4o
Qwen3.5-9BDetailed Comparison
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