DeepSeek R1
DeepSeek R1 is a reasoning-focused large language model released in January 2025 that pioneered reinforcement learning with verifiable rewards (RLVR) for post-training, achieving state-of-the-art performance on benchmarks like AIME 2024 and CodeForces while requiring significantly lower training costs ($5 million for full development, $294,000 for post-training) than previous estimates. The model's success has influenced industry-wide adoption of reasoning-based post-training approaches, and DeepSeek demonstrated that step-by-step reasoning traces from R1 can be distilled into smaller models that develop emergent reasoning abilities without reinforcement learning. R1 has become a reference model for the open-source AI community, with projects like Open R1 replicating its training pipeline and generating synthetic reasoning datasets across mathematics and other domains.
Updated 3 August 2026
Specifications
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Latest developments
Introducing our Artifacts Hub and Adoption Dashboard
Interconnects · 1 hour ago ·
20
The Sequence Knowledge #898: The Trace Is the Teacher: Distilling Reasoning Into Small Models
TheSequence · 1 week ago ·
43
The State Of LLMs 2025: Progress, Problems, and Predictions
Ahead of AI · 7 months ago ·
9
How to evaluate and benchmark Large Language Models (LLMs)
Together AI · 8 months ago ·
41
MedGemma: Our most capable open models for health AI development
Google DeepMind · 9 months ago ·
42
The Frontier is Open
Together AI · 1 year ago ·
30
The NLP Course is becoming the LLM Course
Hugging Face Blog · 1 year ago ·
19
QwQ-32B: Embracing the Power of Reinforcement Learning
Qwen · 1 year ago ·
38
2026
- Introducing our Artifacts Hub and Adoption Dashboard
- The Sequence Knowledge #898: The Trace Is the Teacher: Distilling Reasoning Into Small Models
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
Hugging Face releases tutorials and open-source projects replicating DeepSeek R1's reinforcement learning training methodology Open source 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
- The Frontier is Open
- The NLP Course is becoming the LLM Course
- QwQ-32B: Embracing the Power of Reinforcement Learning
- Open R1: Update #2
- Open-R1: Update #1
- Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial
Relationships
Products & technology
- DeepSeek develops this model · 4 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