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ease
features
design
support

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Description

DeepSeek V3.1 stands as a revolutionary open-weight large language model, boasting an impressive 685-billion parameters and an expansive 128,000-token context window, which allows it to analyze extensive documents akin to 400-page books in a single invocation. This model offers integrated functionalities for chatting, reasoning, and code creation, all within a cohesive hybrid architecture that harmonizes these diverse capabilities. Furthermore, V3.1 accommodates multiple tensor formats, granting developers the versatility to enhance performance across various hardware setups. Preliminary benchmark evaluations reveal strong results, including a remarkable 71.6% on the Aider coding benchmark, positioning it competitively with or even superior to systems such as Claude Opus 4, while achieving this at a significantly reduced cost. Released under an open-source license on Hugging Face with little publicity, DeepSeek V3.1 is set to revolutionize access to advanced AI technologies, potentially disrupting the landscape dominated by conventional proprietary models. Its innovative features and cost-effectiveness may attract a wide range of developers eager to leverage cutting-edge AI in their projects.

Description

DeepSeek V4 is a next-generation AI model designed to deliver high performance while maintaining efficiency at an unprecedented scale. With approximately 1 trillion parameters, it leverages a Mixture-of-Experts architecture to activate only a subset of parameters during computation, reducing costs and improving speed. The model features an extensive 1 million token context window, enabling it to handle long-form content such as entire codebases or large datasets. It is built with native multimodal capabilities, allowing it to process and generate text, images, audio, and video seamlessly. DeepSeek V4 introduces several architectural innovations, including Engram conditional memory for improved long-context retrieval and sparse attention mechanisms for efficient processing. It also incorporates advanced techniques to stabilize training at such a large scale. The model is expected to perform strongly in tasks like coding, reasoning, and data analysis. One of its key advantages is its significantly lower API pricing compared to competing models, making it more accessible. Additionally, it is optimized for alternative hardware solutions, reflecting shifts in global AI infrastructure. Overall, DeepSeek V4 represents a major step forward in making powerful AI more efficient, scalable, and cost-effective.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Aider
DeepSeek
EaseMate AI
Hugging Face
Intrascope
LLM Council
Microsoft Foundry Models
ModelArk
Nebius Token Factory
Okara
Ollama
ZooClaw

Integrations

Aider
DeepSeek
EaseMate AI
Hugging Face
Intrascope
LLM Council
Microsoft Foundry Models
ModelArk
Nebius Token Factory
Okara
Ollama
ZooClaw

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.ai/blog/deepseek-v31

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

Product Features

Product Features

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