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What is DeepSeek V3.1?

DeepSeek V3.1 emerges as a groundbreaking open-weight large language model, featuring an astounding 685-billion parameters and an extensive 128,000-token context window that enables it to process lengthy documents similar to 400-page novels in a single run. This model encompasses integrated capabilities for conversation, reasoning, and code generation within a unified hybrid framework that effectively blends these varied functionalities. Additionally, V3.1 supports multiple tensor formats, allowing developers to optimize performance across different hardware configurations. Initial benchmark tests indicate impressive outcomes, with a notable score of 71.6% on the Aider coding benchmark, placing it on par with or even outperforming competitors like Claude Opus 4, all while maintaining a significantly lower cost. Launched under an open-source license on Hugging Face with minimal promotion, DeepSeek V3.1 aims to transform the availability of advanced AI solutions, potentially challenging the traditional landscape dominated by proprietary models. The model's innovative features and affordability are likely to attract a diverse array of developers eager to implement state-of-the-art AI technologies in their applications, thus fostering a new wave of creativity and efficiency in the tech industry.

What is DeepSeek-V2?

DeepSeek-V2 represents an advanced Mixture-of-Experts (MoE) language model created by DeepSeek-AI, recognized for its economical training and superior inference efficiency. This model features a staggering 236 billion parameters, engaging only 21 billion for each token, and can manage a context length stretching up to 128K tokens. It employs sophisticated architectures like Multi-head Latent Attention (MLA) to enhance inference by reducing the Key-Value (KV) cache and utilizes DeepSeekMoE for cost-effective training through sparse computations. When compared to its earlier version, DeepSeek 67B, this model exhibits substantial advancements, boasting a 42.5% decrease in training costs, a 93.3% reduction in KV cache size, and a remarkable 5.76-fold increase in generation speed. With training based on an extensive dataset of 8.1 trillion tokens, DeepSeek-V2 showcases outstanding proficiency in language understanding, programming, and reasoning tasks, thereby establishing itself as a premier open-source model in the current landscape. Its groundbreaking methodology not only enhances performance but also sets unprecedented standards in the realm of artificial intelligence, inspiring future innovations in the field.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.ai/blog/deepseek-v31

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

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