DeepSeek-V4-Flash is a new 284B-parameter MoE model with 13B activated parameters, featuring hybrid attention architecture that reduces inference costs by 73% at million-token context lengths. Introduces three reasoning effort modes and achieves competitive performance with frontier models on coding and mathematical reasoning.
Initial release of DeepSeek V4 Flash, an efficiency-optimized Mixture-of-Experts model with 284B total parameters, 13B activated parameters, and 1M token context window.
DeepSeek has released V4 Flash, a Mixture-of-Experts model with 284B total parameters and 13B activated parameters per request. The model supports a 1,048,576-token context window and is priced at $0.14 per million input tokens and $0.28 per million output tokens.
DeepSeek released two Mixture-of-Experts models: V4-Flash with 284B total parameters (13B activated) and V4-Pro with 1.6T parameters (49B activated). Both models support one million token context windows and use a hybrid attention architecture that requires only 27% of the inference FLOPs compared to DeepSeek-V3.2 at 1M token context.