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DeepSeek R1

Model ● Covered in 11 stories Compare ⇄ + Follow

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

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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

Timeline

Month Quarter Year

Q3 2026

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

Q2 2025

Q1 2025

Hugging Face releases tutorials and open-source projects replicating DeepSeek R1's reinforcement learning training methodology Open source release

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