DeepSeek R1
Model ● Covered in 12 stories + Follow
DeepSeek R1 is a reasoning-focused large language model referenced across multiple reports about 2025 LLM progress, including claims that it helped popularize RLVR/GRPO-style post-training for verifiable reasoning. Coverage also describes DeepSeek R1 being used to generate large volumes of worked reasoning traces for distillation into smaller models, and notes its role as an open model platform that supports downstream evaluations and community datasets built on R1-generated verified solutions.
Updated 16 September 2026
Specifications
No specifications recorded yet.
Latest developments
Q3 2026
- The DeepSeek Thesis
- Introducing our Artifacts Hub and Adoption Dashboard
- The Sequence Knowledge #898: The Trace Is the Teacher: Distilling Reasoning Into Small Models
Q4 2025
Researcher compiles curated list of LLM research papers from July-December 2025 Research publication
Google DeepMind releases multiple new Gemma model variants including Gemma 3, MedGemma, and T5Gemma Model release
- The State Of LLMs 2025: Progress, Problems, and Predictions
- How to evaluate and benchmark Large Language Models (LLMs)
- MedGemma: Our most capable open models for health AI development
Q2 2025
Q1 2025
Hugging Face releases tutorials and open-source projects replicating DeepSeek R1's reinforcement learning training methodology Open source release
Relationships
Products & technology
- DeepSeek develops this model · 5 sources
- Derived from DeepSeek 32B · 1 source
- Derived from DeepSeek 7B · 1 source
- Open-R1 derived from this model · 1 source
- OpenR1-Math-220k derived from this model · 1 source
- Hugging Face integrated with this model · 1 source