Independent · No affiliation · Updated 2026

The Independent Guide to DeepSeek AI

Honest reviews, step-by-step tutorials, and head-to-head comparisons for DeepSeek V4-Pro, V4-Flash, V3.2, R1, and the entire DeepSeek ecosystem — written by AI practitioners, not marketers.

New: DeepSeek V4 Preview shipped April 24, 2026 with 1M-token context on both tiers. Read the V4 deep-dive →

  • 160+in-depth articles
  • 18model deep-dives
  • 20head-to-head comparisons
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DeepSeek AI Guide is the most thorough independent resource for anyone using or evaluating DeepSeek — the Chinese AI lab whose V4 Preview (released April 24, 2026) pushed 1M-token context and 80.6 % SWE-Bench into open-weight territory, building on the V3.2 and R1 work that redrew the cost curve of frontier AI. We’re not affiliated with DeepSeek and we don’t take sponsorships from them or their competitors. What you find here — every review, tutorial, benchmark, and comparison — is written by practitioners who run these models every day. Whether you’re a developer evaluating the DeepSeek API, a student deciding between DeepSeek vs ChatGPT, or a team exploring alternatives, start below and work outward.

DeepSeek AI — frequently asked questions

Quick answers to the questions we hear most often. For deep dives, follow the links inside each answer.

What is DeepSeek AI?
DeepSeek is a Chinese AI research lab that builds open-weight large language models. Its current generation is DeepSeek V4, released April 24, 2026 as two MIT-licensed MoE models — V4-Pro (1.6T total / 49B active) and V4-Flash (284B / 13B active) — both shipping with 1M-token context by default. Previous generations (V3.2, R1, Coder, Math, VL) are still available and still relevant where cost or hardware matters.
Is DeepSeek free to use?
Yes. The DeepSeek web chat and mobile app are free, and the API is priced dramatically below OpenAI and Anthropic — V4-Flash runs $0.14 per million input tokens (cache-miss) and $0.28 per million output tokens as of April 2026. That makes it practical for students, hobbyists, and side projects.
How does DeepSeek compare to ChatGPT?
DeepSeek V4-Pro posted 80.6 % on SWE-Bench Verified at launch and costs roughly 7× less than comparable frontier-tier APIs at list prices. ChatGPT still leads on image generation, ecosystem integrations, and consumer features. Our DeepSeek vs ChatGPT article has the full head-to-head — refreshed for V4.
Which DeepSeek model should I use?
For most chat, writing, and everyday coding work, DeepSeek V4-Flash is the default — it’s cheap, fast, and supports thinking mode. For frontier-tier reasoning and agentic coding, use V4-Pro. If you’re on legacy `deepseek-chat` or `deepseek-reasoner` IDs, they still work but retire on July 24, 2026 — plan to migrate. Our Models hub breaks down every option.
Is DeepSeek safe and private?
The models themselves are safe. Because DeepSeek is a Chinese service, chat conversations may be logged on servers subject to Chinese law. For sensitive data, self-host an open-weight DeepSeek model locally — our local install guide shows how.
How do I get started with the DeepSeek API?
Register at platform.deepseek.com, generate an API key, and call the chat-completions endpoint. DeepSeek is OpenAI-compatible, so the existing OpenAI SDK works with a one-line base-URL change. See our getting started tutorial.

Written by practitioners. Reviewed for accuracy. Independent by design.

Hands-on, not press-release

Every review, benchmark, and tutorial is produced by engineers who actually run the models — on the web app, on the API, and on local hardware.

No affiliation, no sponsorship

We are not affiliated with DeepSeek, OpenAI, Anthropic, Google, or Meta. Our revenue comes from reader-supported ads only — never from the companies we cover.

Updated, not archived

The AI landscape moves fast. Every core article carries an updated date and is revisited when a new model, price, or policy lands.