Models

DeepSeek-R1

Open reasoning model family for developers testing long-form reasoning, coding, and local AI workflows.

DeepSeek-R1 is an MIT-licensed open reasoning model release from DeepSeek, widely used by developers who want to evaluate transparent reasoning behavior, distilled model variants, and local or self-hosted inference paths.

Open sourceMITLocal first
Overview

DeepSeek-R1: what to know first

DeepSeek-R1 is one of the clearest starting points for anyone comparing open reasoning models. It is not a consumer assistant by itself; it is a model release that helps developers test reasoning-heavy workflows outside a closed hosted API.

DeepSeek-R1 is an MIT-licensed open reasoning model family from DeepSeek. The public release includes official source links and model distribution paths that make it practical to evaluate through model hubs, local runtimes, and self-hosted inference stacks.

Reasoning models are useful when a task requires more than a fluent answer. Coding, debugging, math-like analysis, planning, and technical review all benefit from models that can sustain multi-step reasoning. DeepSeek-R1 gives open AI builders a widely used baseline for those evaluations.

Use cases

Common ways to use it

Coding and debugging support

Use it to test reasoning-heavy coding assistance, issue diagnosis, and step-by-step technical explanations.

Local reasoning experiments

Try distilled variants locally when you want to understand latency, quality, and hardware requirements before hosting a larger model.

Self-hosted analysis workflows

Evaluate it for internal workflows where data control or cost makes hosted reasoning APIs less attractive.

Fit guide

When it makes sense

Good fit if

  • Developers comparing open reasoning models against hosted reasoning APIs
  • Teams testing local or self-hosted coding and analysis workflows
  • Researchers studying distilled reasoning models and evaluation behavior

Not a fit if

  • Users who want a fully managed consumer chatbot
  • Teams that cannot run their own model evaluation, safety checks, or inference stack

How to choose

Choose DeepSeek-R1 when reasoning behavior matters more than chat polish vs general chat models: General chat models can be smoother for casual interaction, but DeepSeek-R1 is worth testing when reasoning quality and open deployment are the main criteria.

Next step

Where to go from here

Try it locally

Command line

Run DeepSeek-R1 with Ollama

Use this for a quick local test after installing Ollama and confirming your machine has enough memory for the selected variant.

ollama run deepseek-r1

Clone the official repository

Use the repository for official release notes, model links, and evaluation context.

git clone https://github.com/deepseek-ai/DeepSeek-R1.git
Technical details Structured profile Facts and source data

At a glance

Status
published
Category
Models
Type
model
License
MIT
Stars
91,963
Forks
11,727
Repo
deepseek-ai/DeepSeek-R1
Verified
2026-04-19

Signals

Open sourceLocal firstSelf-hostable

Tags

Category

modelopen source

Capability

local inference

Constraint

open sourceself hostedlocal firstopen weights

Scenario

local aiself hosted ai

Structured outputs

# DeepSeek-R1

Open reasoning model family for developers testing long-form reasoning, coding, and local AI workflows.

## Summary
DeepSeek-R1 is an MIT-licensed open reasoning model release from DeepSeek, widely used by developers who want to evaluate transparent reasoning behavior, distilled model variants, and local or self-hosted inference paths.


## Guide
DeepSeek-R1 is one of the clearest starting points for anyone comparing open reasoning models. It is not a consumer assistant by itself; it is a model release that helps developers test reasoning-heavy workflows outside a closed hosted API.

### What it is
DeepSeek-R1 is an MIT-licensed open reasoning model family from DeepSeek. The public release includes official source links and model distr

Source links

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