🚀 DeepSeek-R1 is here!

⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!

🌐 Website & API are live now! Try DeepThink at today!

🐋 1/n chat.deepseek.com 🔥 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**!

🐋 2/n

🚀 Introducing DeepSeek-V3!

Biggest leap forward yet:
⚡ 60 tokens/second (3x faster than V2!)
💪 Enhanced capabilities
🛠 API compatibility intact
🌍 Fully open-source models & papers

🐋 1/n
🎉 What’s new in V3?

🧠 671B MoE parameters
🚀 37B activated parameters
📚 Trained on 14.8T high-quality tokens

🔗 Dive deeper here:
Model 👉 github.com/deepseek-ai/De…
Paper 👉 github.com/deepseek-ai/De…

🐋 2/n

🚀 Exciting news! We’ve officially launched DeepSeek-V2.5 – a powerful combination of DeepSeek-V2-0628 and DeepSeek-Coder-V2-0724! Now, with enhanced writing, instruction-following, and human preference alignment, it’s available on Web and API. Enjoy seamless Function Calling, FIM, and Json Output all-in-one!

Note: Due to significant updates in this version, if performance drops in certain cases, we recommend adjusting the system prompt and temperature settings for the best results! DeepSeek-V2.5 outperforms both DeepSeek-V2-0628 and DeepSeek-Coder-V2-0724 on most benchmarks.