DeepSeek announces the preview release of DeepSeek-V4, including two models: V4-Pro (1.6T total / 49B active params) and V4-Flash (284B total / 13B active params), both open-sourced with a default 1M…
DeepSeek announces DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, reasoning-first models for agents. V3.2 is the successor to V3.2-Exp and is available on App, Web, and API.
DeepSeek announces DeepSeek-V3.2-Exp, an experimental model built on V3.1-Terminus that introduces DeepSeek Sparse Attention (DSA) for faster and more efficient training and inference on long…
DeepSeek updated its V3.1 model to V3.1-Terminus, improving language consistency, agent performance, and output stability.
DeepSeek announces DeepSeek-V3.1, a model update with hybrid inference (Think & Non-Think), faster thinking, stronger agent skills, API updates with 128K context, open-source weights, and pricing…