DeepSeek V4 Pro is a new large-scale MoE model with 1.6T total parameters and 49B activated parameters, featuring a 1M-token context window and hybrid attention system. Built on the same architecture as V4 Flash, it adds multiple reasoning modes for complex workloads.
DeepSeek has released V4 Pro, a Mixture-of-Experts model with 1.6 trillion total parameters and 49 billion activated parameters. The model supports a 1-million-token context window and costs $1.74 per million input tokens and $3.48 per million output tokens.
DeepSeek released two new Mixture-of-Experts models: DeepSeek-V4-Pro with 1.6 trillion parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated), both supporting one million token context length. The models achieve 27% of inference FLOPs and 10% of KV cache compared to DeepSeek-V3.2 at 1M context through a hybrid attention architecture combining Compressed Sparse Attention and Heavily Compressed Attention.