E2EE DeepSeek V4 Flash

DeepSeek V4 Flash is the efficiency-focused member of DeepSeek's V4 series, a Mixture-of-Experts language model with 284 billion total parameters and roughly 13 billion activated per token, paired with a one-million-token context window. This catalog entry wraps the model in a Trusted Execution Environment, exposing hardware attestation evidence so the enclave's identity and configuration can be independently verified — a privacy layer on top of the standard weights.

Within the family, it sits below DeepSeek V4 Pro, the larger flagship that shares the same 1M context but runs at higher cost. Both are distinct from the earlier DeepSeek V3.2 generation. It also mirrors the non-enclave DeepSeek V4 Flash checkpoint.

The generational gains are architectural. DeepSeek introduced a hybrid attention design combining Compressed Sparse Attention and Heavily Compressed Attention to reduce long-context memory and compute. Post-training used a two-stage paradigm: cultivating domain-specific experts via supervised fine-tuning and GRPO reinforcement learning, then consolidating them through on-policy distillation.

The model supports both thinking and non-thinking modes and is released under the MIT license with open weights. It targets coding, reasoning, and agentic workflows through function calling and integrated web search, served in FP8 for lower-latency inference.

Sources

deepseek-ai / deepseek-v4-flash· docs.api.nvidia.comdeepseek-v4-flash Model by Deepseek-ai· build.nvidia.comdeepseek-ai/DeepSeek-V4-Flash · Hugging Face· huggingface.co

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