Text / DeepSeek V4.1 Flash
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp(opens in new tab).
Overview
What DeepSeek V4.1 Flash is
A text model selected for and production-ready PomexAI workflows.
Production quality
Reliable, consistent output that meets production standards for demanding workflows.
Workflow fit
workflows with clear model selection and repeatable output planning.
Operational profile
capability for planning request size, latency, and output expectations.
PomexAI routing
Use one detail surface to compare, price, and prepare integration work before moving into production.
Media preview
Playable models keep the same hover-preview behavior as the Models page and return to poster state on leave.
API readiness
Overview, pricing, and API notes stay together so engineering and creative teams can validate the model path quickly.
Model signals
Plan the workflow before integration
Use these fields to quickly confirm quality, use case, public price, and expected capability before opening the API tab.
Best for
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