GPT-4o vs Qwen3.5-0.8B Comparison
Comparing GPT-4o and Qwen3.5-0.8B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 4 benchmarks (GPQA, IFEval, MMLU-Pro, MMMLU), while Qwen3.5-0.8B is better at 0 benchmarks.
GPT-4o 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 Qwen3.5-0.8B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3.5-0.8B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen3.5-0.8B 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 Qwen3.5-0.8B was released on 2026-03-02.
Qwen3.5-0.8B is 19 months newer than GPT-4o.
Aug 6, 2024
1.6 years ago
Mar 2, 2026
1 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
Qwen3.5-0.8B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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