DEEPSEEK / 2026
DeepSeek V4 Pro
A frontier-scale model combining fine-grained sparse experts with a million-token context for agentic work.
DECISION BRIEF
Frontier open reasoning
The pinned artifact contains 864.7 GB of tensors. Sparse token compute does not remove the need to place the full sharded checkpoint and validate runtime support.
Publicly available checkpoints; verify terms before commercial deployment.
Unknown remains explicit until the exact checkpoint license is verified and sourced.
Architecture values are linked to the publishing organization.
ARCHITECTURE
Compute is sparse. Residency is not.
The pinned artifact contains 864.7 GB of tensors. Sparse token compute does not remove the need to place the full sharded checkpoint and validate runtime support.
Expert topology: 384 / top-6. The active-parameter count approximates token-level compute; it does not determine checkpoint memory, KV-cache demand, expert placement, or interconnect pressure.
DeepSeek V4 Pro release
deepseek-ai/DeepSeek-V4-Pro@b5968e9190ef · 864.7 GB
NEXT ACTION
Test the workload, not the headline.
Start with checkpoint residency, then layer in context, concurrency, runtime overhead, topology, and resilience.
Build an assurance plan