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DeepSeek

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Open-source Chinese AI with DeepSeek R1 and V3 models - matches GPT-4 class reasoning at a fraction of the training cost, free to use.

DeepSeek is a Chinese AI research company that released DeepSeek V3 and DeepSeek R1 in late 2024 and January 2025, triggering a major industry reassessment of AI development costs. DeepSeek R1 achieved GPT-4o-level performance on coding and math benchmarks while being fully open-source and trainable at a fraction of OpenAI's reported costs. The web interface and mobile apps are free. The API is priced orders of magnitude below OpenAI equivalents, with R1 available at $0.55 per million input tokens. Open-source weights allow full self-hosting with no API dependency.

#llm
#open-source
#coding-assistant
#chatbot
#reasoning
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www.deepseek.com
Freemium
Pricing Model
Chatbots & Assistants
Category
2023
Since
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Key Features

  • DeepSeek R1 - open-source reasoning model matching GPT-4o on math, coding, and science benchmarks
  • DeepSeek V3 - 685B parameter mixture-of-experts model with 128K context window
  • Fully open-source weights available on HuggingFace for self-hosting
  • API at ~10x lower cost than OpenAI equivalents - $0.55/M input tokens for R1
  • Chain-of-thought reasoning with visible thinking process before answers
  • Strong coding performance - top-5 on competitive programming benchmarks

Use Cases

  • Developers needing a GPT-4 class reasoning model via API at minimal cost
  • Teams self-hosting an LLM for data privacy without cloud API dependencies
  • Researchers benchmarking open-source reasoning model performance
  • Startups building AI products without the API cost structure of OpenAI or Anthropic

Pros

  • Fully open-source weights under MIT license - self-host with zero ongoing API cost
  • API pricing is 5-10x cheaper than equivalent OpenAI or Anthropic offerings
  • R1 reasoning performance rivals closed frontier models on coding and math

Cons

  • Chinese company with data residency concerns for enterprise and government deployments
  • Self-hosting the full 685B parameter V3 model requires significant GPU infrastructure
  • Occasional capacity issues on the free web interface during high-demand periods

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