open-r1
Fully open reproduction of DeepSeek-R1 for language modeling tasks.
- Status
- Generally available
- Last checked
- Aging · Sep 1, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Open-r1 is a fully open-source reproduction of the DeepSeek-R1 model, designed to perform various language modeling tasks. It offers developers and researchers access to advanced AI capabilities under an Apache-2.0 license.
Open-r1 stands out as a fully open-source alternative to DeepSeek-R1, offering developers and researchers complete transparency and flexibility in their language modeling tasks.
When it fits — and when it doesn’t
A good fit for
Researchers looking for a fully open-source alternative to DeepSeek-R1
Developers needing flexibility in self-hosting their models
Projects requiring reproducibility and transparency in AI model usage
Look elsewhere if
Teams requiring real-time, low-latency responses from the model
Applications that need cloud-based managed services for ease of use
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation and examples
Official repository lacks comprehensive guides, tutorials are sparse and out-of-date
- 02
Performance issues with large datasets
Model training times increase exponentially with larger input sizes, memory usage is high
What it does well
Fully open-source under Apache-2.0 license
Reproduction of DeepSeek-R1 model for language tasks
Self-hosted deployment flexibility
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up open-r1
Setup steps, common gotchas and what to check after 30 days.