Audience

AI researchers, developers, and tech enthusiasts seeking a high-performance, cost-efficient open-source language model for advanced natural language processing, coding, and reasoning tasks

About DeepSeek-V2

DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.

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Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

API:
Yes, DeepSeek-V2 offers API access
See Integrations

Ratings/Reviews

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Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Videos and Screen Captures

DeepSeek-V2 Screenshot 1
DeepSeek-V2 Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
On-Premises
Training
Documentation

DeepSeek-V2 Frequently Asked Questions

Q: What kinds of users and organization types does DeepSeek-V2 work with?
Q: What languages does DeepSeek-V2 support in their product?
Q: What other applications or services does DeepSeek-V2 integrate with?
Q: Does DeepSeek-V2 have an API?
Q: What type of training does DeepSeek-V2 provide?
Q: How much does DeepSeek-V2 cost?

DeepSeek-V2 Product Features

DeepSeek-V2 Additional Categories