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DeepSeek

✓ verified, sync 2026-08-20

DeepSeek is an AI tool capable of supercharged reasoning, designed for long-term strategies to solve complex problems. This open-source model is specially designed to function effe….

PricingFreemium
Rating5.0 on Futurepedia · 76 reviews
Category Large Language Models (LLMs)Open Source AI ModelsAI APIAI ChatbotsAI Code GeneratorAI Assistant +14
First indexed2026-08-20

What it does.

DeepSeek is an AI tool capable of supercharged reasoning, designed for long-term strategies to solve complex problems. This open-source model is specially designed to function effectively in various domains such as arithmetic, math, coding, and reasoning. DeepSeek provides a web-based experience, along with an open API, offering users the ability to incorporate its learning and reasoning capabilities into their applications. The model supports a generous context length, suitable for comprehensive interactions or tasks requiring significant context. DeepSeek is ranked highly on major model leaderboards, demonstrating its robust performance and effectiveness. What sets DeepSeek apart is its capability to deliver impressive results for a variety of tasks, from simple knowledge retrieval and reasoning to complex mathematical problem-solving and coding tasks. Its API offers cost-effective pricing for AI services, making it a viable choice for developers and businesses looking to leverage AI capabilities. DeepSeek is compatible with OpenAI APIs, enabling seamless integration with existing AI systems or platforms. Moreover, DeepSeek makes its research and models available for open-source contributions, further driving advances in the field.

registry ID ndock:tool:deepseek

Features

  • General large language models (LLM)
  • Code generation models
  • Mixture of Experts (MoE) models
  • API access to models
  • Context Caching
  • Mixture-of-Experts (MoE) Architecture: DeepSeek-V3 employs a Mixture-of-Experts framework, enabling the model to activate only relevant subsets of its parameters during inference. This design enhances computational efficiency and allows the model to scale effectively.
  • High Parameter Count with Efficient Activation: The model boasts a total of 671 billion parameters, with 37 billion activated per token. This structure ensures robust performance while maintaining manageable computational demands.
  • Extended Context Length: Supporting a context length of up to 128,000 tokens, DeepSeek-V3 can process and generate extensive sequences of text, making it suitable for complex tasks requiring long-form content generation.

Pricing history.

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