GPT-4 Turbo vs Qwen3.5-2B Comparison
Comparing GPT-4 Turbo and Qwen3.5-2B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 0 benchmarks, while Qwen3.5-2B is better at 1 benchmark (GPQA).
Qwen3.5-2B 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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-2B supports multimodal inputs, whereas GPT-4 Turbo does not.
Qwen3.5-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Qwen3.5-2B
License
Usage and distribution terms
GPT-4 Turbo is licensed under a proprietary license, while Qwen3.5-2B 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-4 Turbo was released on 2024-04-09, while Qwen3.5-2B was released on 2026-03-02.
Qwen3.5-2B is 23 months newer than GPT-4 Turbo.
Apr 9, 2024
1.9 years ago
Mar 2, 2026
2 weeks ago
1.9yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3.5-2B's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.
Dec 2023
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Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Qwen3.5-2B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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