DeepSeek-R1 Release

• ⚡ Performance on par with OpenAI-o1

• 📖 Fully open-source model & technical report

• 🏆 Code and models are released under the MIT License: Distill & commercialize freely!

• 🌐 Website & API are live now! Try DeepThink at chat.deepseek.com today!

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• 🔥 Bonus: Open-Source Distilled Models!

• 🔬 Distilled from DeepSeek-R1, 6 small models fully open-sourced

• 📏 32B & 70B models on par with OpenAI-o1-mini

• 🤝 Empowering the open-source community

• 🌍 Pushing the boundaries of open AI!

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• 📜 License Update!

• 🔄 DeepSeek-R1 is now MIT licensed for clear open access

• 🔓 Open for the community to leverage model weights & outputs

• 🛠️ API outputs can now be used for fine-tuning & distillation

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• 🛠️ DeepSeek-R1: Technical Highlights

• 📈 Large-scale RL in post-training

• 🏆 Significant performance boost with minimal labeled data

• 🔢 Math, code, and reasoning tasks on par with OpenAI-o1

• 📄 More details: https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf

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• 🌐 API Access & Pricing

• ⚙️ Use DeepSeek-R1 by setting model=deepseek-reasoner

• 💰 $0.14 / million input tokens (cache hit)

• 💰 $0.55 / million input tokens (cache miss)

• 💰 $2.19 / million output tokens

• 📖 API guide: https://api-docs.deepseek.com/guides/reasoning_model