DeepSeek.ai dark‑mode chat interface showing a user prompt and AI answer with reasoning bubble.
DeepSeek.ai mobile app interface showing chat input screen and logo on smartphone.
DeepSeek.ai mobile chat session in dark theme where AI censorship triggered and message deleted mid‑response.
DeepSeek.ai homepage interface with app promotion header and login button on a global map backdrop

DeepSeek.ai – Open-Source Reasoning AI and Conversational Search

DeepSeek.ai is an open‑source AI platform from China, offering powerful large language models like DeepSeek‑V3 (general-purpose) and DeepSeek‑R1 (reasoning‑focused). Released in January 2025, it models chain-of-thought reasoning and delivers step-by-step solutions in chat applications or API form.

  • Open-source models under MIT license with download access (R1 & V3)
  • Chain-of-thought reasoning visible in responses, ideal for math, coding, logic
  • Low-cost inference: API pricing ~ $0.55 input / $2.19 output per million tokens
  • Widely adopted across app stores, surpassed ChatGPT downloads in the US
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Quick Facts - About DeepSeek.ai

Attribute Details
Category Open‑source AI chatbot & reasoning model suite
Platforms Web app, iOS/Android, API access
Models Available DeepSeek‑V3 (general), DeepSeek‑R1 (reasoning), Coder‑V2, VL (vision‑language)
License Models MIT-licensed; apps proprietary
Pricing Free chat interface; API priced usage-based (~$0.55/$2.19 per million tokens)
Core Capabilities Chain-of-thought reasoning, coding help, multimodal support, large context, multilingual
Known Issues Systemic censorship on China-hosted chat, major privacy/security risks

What is DeepSeek.ai ?

DeepSeek.ai is developed by Hangzhou’s DeepSeek AI company, founded in 2023. It released its open-source DeepSeek- R1 reasoning model in January 2025 alongside a public chatbot, which swiftly climbed app rankings. DeepSeek-V3 followed, delivering state-of-the-art performance in math, code, and logic tasks at a fraction of the training cost used by competitors like OpenAI. However, the official chat UI hosted in China censors sensitive queries, though locally hosted models omit these restrictions

Description

1. Chain-of‑Thought Reasoning Transparency

  • DeepSeek‑R1 breaks down complex queries into logical steps—ideal for math problems, code, and nuanced reasoning.

2. Low Inference Costs

  • Efficient MoE architecture uses ~37B active parameters per token on a 671B model but remains cost-effective compared to GPT‑4 alternatives.

3. Open-Source Accessibility

  • Model weights and training details are available via GitHub or Hugging Face, enabling customization and offline use

4. Multimodal & Specialized Models

  • DeepSeek-VL handles vision-text tasks, DeepSeek-Coder provides coding support, and V3 supports extended context lengths and multilingual formatting.

5. API & Chat Interface

  • Use via a web chat app or integrate via API for automation; APIs run on usage pricing, enabling scalable deployment.

6. High Risk & Censorship Indicators

  • The China-hosted web app enforces real-time topic censorship; user data is stored in China and subject to government access laws, raising global privacy concerns.

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Pricing & Plans Of DeepSeek.ai

Plan Features Price
Free Tier Access to DeepSeek Chat and DeepSeek Coder with usage limits Free
Pro (Upcoming) Higher token limits, priority access, and advanced reasoning capabilities TBD
API Access Programmatic access to DeepSeek’s models for custom integrations Coming Soon

Pro's

  • Open-access, transparent LLM logic with chain-of-thought
  • Exceptional reasoning, math, and coding support at low cost
  • Independently deployable models for privacy-conscious users

  • Competitive benchmarks vs GPT‑4/Gemini in reasoning tasks

Con's

  • Fails 83% of NewsGuard red-team tests, trailing Western models.
  • Censorship on the official web interface for politically sensitive topics.
  • Severe privacy and security vulnerabilities; exposed data breach, compliance investigations.

  • UI is less polished; occasional misalignment in creative writing or nuance compared to ChatGPT.

Popular Use Cases of DeepSeek.ai

  • Researchers & Educators: Provides transparent reasoning for complex questions
  • Developers: Integrated coding helps with DeepSeek‑Coder
  • Academic & Technical Professionals: Open weights for local training or deployment
  • Cost-Conscious Users: Low inference fees make it ideal for scale

  • Privacy-Focused Deployments: Local hosting avoids Chinese censorship and data routing

Alternatives of DeepSeek.ai

Tool Strengths DeepSeek Advantage
Perplexity / GPT‑based Up-to-date search with citations Localizable, transparent reasoning architecture
GPT‑4 / Claude 3 Opus Stable and safe for general use Open-source, cost-efficient reasoning models
LLaMA‑based tools Offline open-source LLMs Better benchmarks for reasoning and math
Google Bard / Gemini Integrated with Google ecosystems DeepSeek offers local deployability & chain-of-thought

Feedback

From Reddit:

“DeepSeek R1 surprised me… solves math with step‑by‑step reasoning… runs fast on phones.”

Industry warns:

“DeepSeek repeated false claims ~30% scored last in NewsGuard audit.”

FAQs related to DeepSeek.ai

  1. Is DeepSeek free to use?
    Yes, chat use is free with API usage billed at competitive rates (~$0.55 input / $2.19 output per million tokens)
  2. Are models open-source?
    Models like DeepSeek‑R1, V3, and Coder‑V2 are MIT-licensed and accessible on GitHub/Hugging Face.
  3. Can I remove censorship?
    Yes, running local instances avoids server-side filtering and censorship present in the China-hosted UI.
  4. Should I worry about privacy risks?
    Experts strongly caution that user data is stored in China, and exposed breaches have occurred. Therefore, avoid inputting sensitive content into public apps.
  5. How is performance on benchmarks?
    Highly competitive:
    – Math performance ~90% EM on MATH‑500
    – 75.9% on MMLU-Pro
    – 51.6th percentile on Codeforces benchmarks

Tutorial

Interested in exploring transparent, open-source reasoning AI?

Access DeepSeek‑R1 or V3 now—download models, deploy locally, or build integrations with API access. If privacy or state-based censorship is a concern, consider hosting your own instance instead of using the China-hosted UI.
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