DeepSeek v3

A high-performance language model featuring 671 billion parameters, utilizing advanced MoE architecture for exceptional results.

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Large Language Models (LLMs)Open Source AI Models AI API AI Models

About DeepSeek v3

DeepSeek v3 is a cutting-edge 671-billion-parameter Mixture-of-Experts (MoE) language model that delivers groundbreaking performance. Pre-trained on 14.8 trillion high-quality tokens, it supports API integration, online demos, and detailed research publications. Its architecture enables efficient inference with a 128K context window and Multi-Token Prediction, enhancing accuracy and speed across tasks such as mathematics, coding, and multilingual processing. Designed for scalability and versatility, DeepSeek v3 sets new standards in large language model capabilities.

How to Use

Access DeepSeek v3 via its online demo, integrate through its API, or download the model weights for local deployment. Use the demo for tasks like text generation, code completion, or reasoning by inputting your query. API integration offers compatibility with OpenAI interfaces for seamless application development. For local deployment, ensure your hardware meets the requirements and follow the technical setup instructions.

Features

Trained on 14.8 trillion high-quality tokens for robust performance

Advanced Mixture-of-Experts (MoE) architecture with 671B parameters and 37B active per token

Optimized for fast and efficient inference

Supports a 128K token context window for long-form processing

Incorporates Multi-Token Prediction to improve accuracy and speed

Compatible with OpenAI API standards for easy integration

Excels in mathematics, programming, and multilingual tasks

Use Cases

Code completion and programming assistance

Mathematical problem-solving and reasoning

Automated text generation

Complex analytical and reasoning tasks

Mobile app integration via edge deployment

Multilingual content creation

Enterprise solutions with data privacy through local deployment

Best For

Data scientistsIndividual developersAI and LLM researchersEnterprise AI deploymentContent creatorsAcademic researchersSoftware engineersMobile app developers

Pros

Competitive pricing compared to leading models

Highly efficient inference despite large size

Top-tier performance in math, coding, and multilingual tasks

Fast response options through optimized providers

Enhanced data privacy with local deployment options

Free tokens and trial periods on multiple platforms

Open-source weights available under MIT License

Multiple access methods: online demo, API, and local deployment

Cons

High hardware requirements for local deployment (404GB model file)

Some cloud services require account registration or invitation codes

Potential latency or higher costs with some third-party providers

Price increases after promotional or free periods

Possible service instability on official platforms

Some distilled models offer shorter context windows or simplified features

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

DeepSeek API (deepseek-chat)

Input: $0.07-$0.27 per million tokens, Output: $1.10 per million tokens

Official support, comprehensive documentation, and OpenAI-compatible API for competitive pricing.

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DeepSeek Reasoner API (deepseek-reasoner)

Input: $0.14-$0.55 per million tokens, Output: $2.19 per million tokens

Official support with detailed documentation, compatible with OpenAI API, offering cost-effective solutions.

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Volcengine Cloud

5 CNY per million output tokens (limited-time promotional rate)

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Tencent Cloud AI

Free until February 2025, then 8 CNY per million output tokens

Fully compatible with OpenAI API, supports streaming output, with a maximum of 5 concurrent requests per account.

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Alibaba Cloud Bailian

Pay-as-you-go model

Includes 1 million free tokens for new users. Integrates seamlessly with Alibaba Cloud ecosystem and supports private deployment.

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Baidu Qianfan

Free quota upon registration

Supports popular programming languages with extensive documentation, ideal for Baidu Cloud projects.

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Fireworks AI

Check official website for current rates

First-time users get a $1 credit. Provides API access compatible with OpenAI, ensuring reliable service.

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Together AI

Pay-as-you-go

A stable third-party API provider supporting multiple AI models with global accessibility.

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OpenRouter

Pay-as-you-go

Supports multiple models with flexible integration via a unified API interface.

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SiliconFlow

Free with 20 million tokens upon registration

Offers free tokens and additional bonuses via invitation codes. Features diverse models and low-cost plans.

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Metaso AI

Free to use

Web-based platform with no explicit token limit, combining deep retrieval with detailed responses.

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Groq

Free to use

Offers unlimited free access with rapid responses optimized by LPU chips, demonstrating chain-of-thought reasoning.

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Huawei Cloud ModelArts

2 million free tokens

Provides free tokens for testing, supports edge deployment, and integrates with HarmonyOS.

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Self-Hosting

High hardware investment (404GB model file)

Requires dedicated infrastructure. Open source under MIT License, ensuring data privacy and cost savings long-term.

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Frequently Asked Questions

Find answers to common questions about DeepSeek v3

What distinguishes DeepSeek v3 from other language models?

DeepSeek v3 combines a 671-billion-parameter MoE architecture with features like Multi-Token Prediction and load balancing, ensuring superior performance across diverse tasks.

How can I access DeepSeek v3?

You can use the online demo, integrate via the API, or download the model for local deployment, depending on your needs.

What tasks does DeepSeek v3 excel at?

It performs exceptionally well in mathematics, programming, reasoning, and multilingual processing, often achieving top benchmark results.

Is DeepSeek v3 suitable for commercial applications?

Yes, the model supports commercial use under its licensing terms.

What are the hardware requirements for local deployment?

A dedicated server with substantial storage and processing power is necessary, including a 404GB model file for full deployment.