What is DeepSeek v3?

DeepSeek v3 is a powerful 671B parameter Mixture-of-Experts (MoE) language model that offers groundbreaking performance. It is an AI-driven LLM with 671B total parameters (37B activated per token) and supports API access, an online demo, and research papers. Pre-trained on 14.8 trillion high-quality tokens, DeepSeek v3 delivers state-of-the-art results across various benchmarks, including mathematics, coding, and multilingual tasks, while maintaining efficient inference. It features a 128K context window and incorporates Multi-Token Prediction for enhanced performance and acceleration.

How to use DeepSeek v3?

DeepSeek v3 can be accessed through its online demo platform, API services, or by downloading the model weights for local deployment. For the online demo, users choose a task (e.g., text generation, code completion, mathematical reasoning), input their query, and receive AI-powered results. For API access, it offers OpenAI-compatible interfaces for integration into applications. Local deployment requires self-provided computing resources and technical setup.

DeepSeek v3's Core Features

Advanced Mixture-of-Experts (MoE) architecture (671B total parameters, 37B activated per token)

Extensive training on 14.8 trillion high-quality tokens

Superior performance across mathematics, coding, and multilingual tasks

Efficient inference capabilities

Long 128K context window

Multi-Token Prediction for enhanced performance and acceleration

OpenAI API compatibility

DeepSeek v3's Use Cases

#1 Text generation

#2 Code completion

#3 Mathematical reasoning and problem-solving

#4 Complex reasoning tasks

#5 Multilingual applications

#6 Enterprise-level applications requiring data privacy (via local deployment)

#7 Mobile applications (via edge deployment options)

DeepSeek v3

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