GPT-4 Turbo vs Phi-3.5-vision-instruct Comparison
Comparing GPT-4 Turbo and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo and Phi-3.5-vision-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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
Phi-3.5-vision-instruct supports multimodal inputs, whereas GPT-4 Turbo does not.
Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Phi-3.5-vision-instruct
License
Usage and distribution terms
GPT-4 Turbo is licensed under a proprietary license, while Phi-3.5-vision-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Phi-3.5-vision-instruct was released on 2024-08-23.
Phi-3.5-vision-instruct is 5 months newer than GPT-4 Turbo.
Apr 9, 2024
1.9 years ago
Aug 23, 2024
1.6 years ago
4mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Phi-3.5-vision-instruct'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 Phi-3.5-vision-instruct's cutoff date.
Dec 2023
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Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Phi-3.5-vision-instruct
View detailsMicrosoft
Detailed Comparison
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