DeepSeek-V4
A technical report that bundles DeepSeek-V4 architecture, long-context attention, post-training methods, and serving systems into one connected release.
DeepSeek-V4 matters because it is not one isolated trick. The report ties together new block wiring, long-context attention, post-training routines, and serving systems so the model can keep reasoning depth while staying deployable at very long context lengths.
At a glance
Published
June 2026
Authors
DeepSeek-AI
Introduces
Why It Matters
Many papers improve only one layer of the stack. DeepSeek-V4 is more useful as a reference because it shows how model architecture, post-training, quantization, and serving choices can be designed together.Method Or Architecture
At a high level, the architecture keeps a transformer-style backbone but changes how layers share state and how long context is handled. The post-training story then adds specialist data and distillation, while the serving story keeps long sessions practical.DeepSeek-V4 reportArchitecture changesPost-training methodsServing systemsDeepSeek-V4 report to Architecture changesDeepSeek-V4 report to Post-training methodsDeepSeek-V4 report to Serving systems