Releases

DeepSeek released JanusFlow using rectified flow for image generation.

DeepSeek released Janus 1.3B for multimodal understanding and image generation.

DeepSeek introduced the Janus family for unified multimodal understanding and generation.

DeepSeek merged its general and coding capabilities into V2.5 and published weights.

DeepSeek released an improved formal theorem prover using reinforcement learning and search.

DeepSeek introduced disk-based context caching to reduce repeated-token costs.

The API gained JSON mode, function calling, chat-prefix completion and fill-in-the-middle completion.

DeepSeek upgraded the deepseek-coder API to the July Coder V2 checkpoint.

DeepSeek updated its chat model with stronger code, math, reasoning and role-play performance.

DeepSeek released 16B and 236B mixture-of-experts coding models with 128K context.

DeepSeek upgraded its coding API to the Coder V2 generation.

DeepSeek published its first open theorem-proving model for Lean 4.

DeepSeek introduced its formal theorem-proving model research line.

DeepSeek upgraded deepseek-chat with improved instruction following, JSON output and RAG performance.

DeepSeek opened an OpenAI-compatible API for its chat and coding models.

DeepSeek published DeepSeek-V2 base and chat weights with 128K context.

DeepSeek introduced its efficient second-generation mixture-of-experts architecture.

DeepSeek introduced an open vision-language model family for real-world multimodal understanding.

DeepSeek released 1.3B and 7B base and chat checkpoints.

Base, instruction and reinforcement-learning DeepSeekMath 7B checkpoints were published.

DeepSeek introduced its open mathematical reasoning research line.

DeepSeek released an updated 7B coding model that later served as the initialization for DeepSeekMath.

DeepSeek LLM 67B Base became publicly available as part of DeepSeek's first general LLM release.

DeepSeek published its first general-purpose 7B and 67B open language models.

DeepSeek LLM 7B Base became publicly available as part of DeepSeek's first general LLM release.

DeepSeek LLM 67B Chat became publicly available as part of DeepSeek's first general LLM release.

DeepSeek LLM 7B Chat became publicly available as part of DeepSeek's first general LLM release.

Base and instruction-tuned DeepSeek Coder checkpoints were published for code completion and generation.

DeepSeek released its first open code-model family, spanning 1B to 33B parameters and trained on two trillion tokens.

DeepSeek launched its web conversational assistant.

DeepSeek began offering web-based access to its models through the DeepSeek Chat service.

Hangzhou DeepSeek Artificial Intelligence Co., Ltd. was established by Liang Wenfeng as an AGI-focused research company originating from High-Flyer.