Overview
Description
DeepSeek-R1 delivers OpenAI-o1-class reasoning performance in math, code, and logic tasks — now open-source and MIT-licensed. It uses reinforcement learning to teach models to think step-by-step, and distilled versions run on hardware as small as 1.5B parameters. The bottom line: production-grade reasoning without the proprietary price tag.
Technical scorecard
License
MIT
Commercial use
Yes
OpenAI-compatible API
Yes
REST API
Yes
Fine-tuning support
No
Quantization support
No
Docker available
No
GUI / no-code available
Yes
Telemetry
Unknown
Offline after setup
No
Data & Privacy
Does it send data online?
This listing is not marked offline after setup.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Planning to deploy DeepSeek-R1?
Estimate exact GPU VRAM requirements, context limits, fine-tuning memory, and infrastructure costs for DeepSeek-R1 before committing to hardware.
Calculate Hardware & GPU Sizing →Setup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/deepseek-ai/DeepSeek-R1Hardware Requirements
Works Well With