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Conversational AI & Chatbots

DeepSeek

Open frontier reasoning and coding models with unmatched cost efficiency

Freemium - from Free / API usageRuns in the cloudEditors pick

Pricing

Freemium - from Free / API usage

Free / API usage

Platforms

Web

Hosted app

Category

Conversational AI & Chatbots

71 tools

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Last updated

Oct 2

Listing updated

Best for

Complex code refactoring and architecture design

Generate full-stack features and refactor legacy code using DeepSeek-V3 and R1.

Pricing checked Oct 2026

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About DeepSeek

DeepSeek is an artificial intelligence research company known for disrupting the frontier model landscape with DeepSeek-V3 and DeepSeek-R1. Built using Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, their models match or exceed proprietary frontier models in software engineering, mathematics, and multi-step reasoning while requiring vastly lower training and inference compute.

DeepSeek-R1 employs large-scale reinforcement learning to develop natural chain-of-thought reasoning without relying on human demonstration data for intermediate steps. Both models are released with open weights under permissive licenses, allowing local deployment via Ollama and vLLM or scalable cloud access via the official DeepSeek API. The API features aggressive prompt caching, making it one of the most economical engines available for complex coding agents and automated research.

  • Benchmark-leading reasoning and programming capabilities rivaling proprietary models
  • Open weights available for local deployment and private enterprise hosting
  • Extraordinarily low API pricing with generous prompt caching discounts
  • Permissive open licensing for commercial and research applications
  • Official API endpoints experience periodic rate limiting during global traffic surges
  • Full 671B MoE parameter weights require multi-GPU setups or quantization for local hosting

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Assistants and answer engines built on large language models: general-purpose chat, research copilots with inline citations, and customer-support agents that resolve tickets end to end. Every listing documents model access, context limits, API availability, and pricing so you can match the tool to the workload instead of the hype.

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