DeepSeek R1
Advanced reasoning model
DeepSeek R1 launched on January 21, 2025 with 322 votes, #93 of 6,142 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
DeepSeek R1 is an open-source language model designed for advanced reasoning tasks. It employs a reinforcement learning-driven approach with a 671 billion parameter mixture-of-experts architecture to deliver high performance across multiple benchmarks. The model is available via API and on GitHub, making it accessible for developers and researchers who need sophisticated reasoning capabilities in their applications.
written from the facts on this page · September 2026
From the sources
DeepSeek R1 is a powerful, open-source language model focused on advanced reasoning. It uses a unique RL-driven approach and a 671B MoE architecture to achieve state-of-the-art results, outperforming comparable models on various benchmarks.
Contribute to deepseek-ai/DeepSeek-R1 development by creating an account on GitHub.
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across…from github.com
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