No-registration online demo
Use the model in a browser-based demo without creating an account or entering payment details.
DeepSeek Online is a web product for trying DeepSeek-V3, an open-source AI model, directly in the browser. The homepage positions it as a free way to access the model without registration or a credit card, while also offering a path to local installation through the project’s GitHub-based implementation.
The site presents DeepSeek-V3 as a 671B-parameter model with 37B activated per token and a 128K context length on the listed downloads. It is described as free for commercial use, with browser access for quick evaluation and local deployment for users who want to run the open-source model themselves.
Use the model in a browser-based demo without creating an account or entering payment details.
Run DeepSeek-V3 through the open-source implementation for local use outside the browser.
The page describes DeepSeek-V3 as a 671B-parameter model with 37B activated per token.
The site says the model supports a 128K context length for the listed downloads.
The site says the model can be integrated through an API and documentation examples.
The project highlights source code access on GitHub and community support.
Open the browser demo to evaluate DeepSeek-V3 quickly without creating an account or setting up infrastructure.
Download the open-source implementation if you want to run the model locally instead of using the hosted demo.
Use the model as a starting point for application integration when you need an API-based workflow and documentation examples.
Use the listed model downloads when you need a 128K context window for longer prompts or documents.
DeepSeek-V3 is presented as an open-source language model that you can use either in the online demo or by downloading it from the project’s GitHub repository.
The site says DeepSeek-V3 is free for commercial use because it is open source and available under a permissive license.
For the online demo, the site says you only need a modern web browser. For local use, it recommends a GPU with sufficient VRAM, Python 3.8 or higher, and basic familiarity with machine learning frameworks.
The site states that DeepSeek-V3 can be integrated into existing applications through an API or the open-source implementation, with documentation and examples provided.
The product page lists DeepSeek-V3-Base and DeepSeek-V3 with 671B parameters and 128K context length.
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