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DeepSeek

Free tierUpdated 2026-04

The open-source AI that shocked the industry — free, powerful, and downloadable.

🟡Intermediate30 min to set upTry DeepSeek

What is it?

DeepSeek is an AI lab based in China that released two models which caused a stir in early 2025: DeepSeek-V3 (a fast, general-purpose model) and DeepSeek-R1 (a reasoning model that thinks step-by-step before answering). Both models are open-weights — meaning the model files are freely available to download and run on your own hardware. They match or beat GPT-4 on many benchmarks, and cost a fraction of the price to train.

Who is it for?

  • Developers and programmers who want an exceptionally capable coding assistant
  • Students and researchers working on maths, logic, or reasoning-heavy problems
  • Privacy-focused users who want to run a powerful model locally (not on DeepSeek's servers)
  • Cost-conscious builders who want API access at very low rates

The magic moment

Paste a complex bug or algorithm problem into DeepSeek-R1. Watch it reason through the problem step by step — showing its working like a student writing out a proof — before landing on the answer. The reasoning trace is often as useful as the final answer, because you can see exactly where it caught a mistake.

Step-by-step setup

Option 1: Use the web interface (easiest)

  1. Go to chat.deepseek.com
  2. You can ask questions without signing in, or create a free account to save history
  3. Toggle DeepThink (R1) mode on for hard problems that need step-by-step reasoning

Option 2: Run locally via Ollama (private, offline)

  1. Install Ollama from ollama.com
  2. Open your terminal and run: ollama run deepseek-r1:7b
  3. Ollama will download the model (around 4 GB) and open a chat session
  4. For a bigger, more capable version: ollama run deepseek-r1:14b (requires 16 GB RAM)

Option 3: Run locally via LM Studio (no terminal)

  1. Open LM Studio and search for DeepSeek-R1
  2. Download a quantised version (Q4_K_M recommended)
  3. Load it in the Chat tab and start chatting

Local hardware note: The 7B model runs on 8 GB RAM. The 14B model needs 16 GB. Full-size models (67B+) require a high-end workstation.

Compare with similar tools

  • Ollama — the best way to run DeepSeek locally; Ollama is the runtime, DeepSeek is the model
  • LM Studio — an alternative local runner with a graphical interface, no terminal needed
  • ChatGPT — easier to use and has more features (image generation, voice), but costs money and isn't open-source; DeepSeek R1 matches it on coding and reasoning tasks