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DeepSeek-R1

Featured

State-of-the-art open-weights reasoning model trained via large-scale reinforcement learning. Rivals OpenAI o1 in math, coding, and logical reasoning.

Open Source
LLM
Added: 8/19/2026

Preview

Screenshot of DeepSeek-R1

Problem

Proprietary reasoning models are expensive, closed-source, and introduce vendor lock-in for enterprise chain-of-thought workflows.

Solution

An open-weights reasoning LLM that uses pure RL (Reinforcement Learning) without supervised fine-tuning warm-up to achieve remarkable reasoning benchmarks at ultra-low inference cost.

Challenge

Managing lengthy chain-of-thought token generation while preventing reasoning drift and maintaining fast throughput.

Key Features

  • Deep reasoning tokens (<think>)
  • Open weights with MIT license
  • Distilled models (1.5B to 70B)
  • Exceptional math and coding score

Tech Choices

PyTorchMulti-Head Latent AttentionReinforcement Learning (GRPO)

Target User

AI Researchers, Data Scientists, and Developers needing advanced logical reasoning.

Impact

"Disrupted the global AI industry by providing frontier-class reasoning performance at a fraction of standard proprietary pricing."

How to Use

1

Try Online

Visit chat.deepseek.com and enable 'DeepThink (R1)' mode for reasoning queries.

2

Run Locally

Run 'ollama run deepseek-r1:8b' or 'ollama run deepseek-r1:14b' on your local machine.

3

Integrate via API

Use the OpenAI-compatible API at 'https://api.deepseek.com' with model 'deepseek-reasoner'.

Quick Details

Pricing
Free
Platforms
Web, API, Local
Updated
8/19/2026