OpenAI API vs. Pytorch

OpenAI API

14 Reviews and Ratings

Pytorch

14 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
OpenAI API	Score 9.6 out of 10	N/A	OpenAI headquartered in San Francisco, aims to ensure that artificial general intelligence benefits all of humanity. OpenAI’s API provides access to GPT-3, which performs a wide variety of natural language tasks, and Codex, which translates natural language to code.	$0 per 1K tokens
Pytorch	Score 9.3 out of 10	N/A	Pytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.	N/A

Pricing

OpenAI API

Pytorch

Editions & Modules

Ada: $0.0008
per 1K tokens
Babbage: $0.0012
per 1K tokens
Curie: $0.0060
per 1K tokens
Davinci: $0.0600
per 1K tokens

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Offerings

Pricing Offerings
OpenAI API	Pytorch
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

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More Pricing Information

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	OpenAI API	Pytorch
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User Ratings
	OpenAI API	Pytorch
Likelihood to Recommend	10.0 (1 ratings)	9.4 (5 ratings)

User Testimonials
	OpenAI API	Pytorch
Likelihood to Recommend	OpenAI Evolving own Business. Incentivized Nelson Lopez CEO (Chief Executive Officer) Read full review	Open Source They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch. Incentivized Verified User Anonymous Read full review
Pros	OpenAI Codes Text Images Sound Incentivized Nelson Lopez CEO (Chief Executive Officer) Read full review	Open Source Provides Benchmark datasets to test your custom algorithm Provides with a lot of pre-coded neural net components to use for your flow Gives a framework to write really abstract code. Incentivized Taapas Agrawal Research Intern Read full review
Cons	OpenAI Restrictions are sometimes too strong Incentivized Nelson Lopez CEO (Chief Executive Officer) Read full review	Open Source Distributed data parallel still seems to be complicated Support for easy deployment to servers Torchvision to have support for latest models with pertained weights Incentivized Verified User Anonymous Read full review
Alternatives Considered	OpenAI Due to in part of difficult situation, OpenAI recognizes me as a researcher and supports my projects. Incentivized Nelson Lopez CEO (Chief Executive Officer) Read full review	Open Source As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks. You can get to better performance models by better understanding the deep learning model code, so I think the choice of Pytorch is easy and simple. Incentivized Verified User Anonymous Read full review
Return on Investment	OpenAI Big question about functionality Incentivized Nelson Lopez CEO (Chief Executive Officer) Read full review	Open Source I'd estimate I can build a model 50% faster on pytorch vs other frameworks Incentivized Verified User Anonymous Read full review
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