Model Brief

DeepSeek V4 Pro Cloud

The flagship model in the DeepSeek V4 series -- a 1.6T-parameter Mixture-of-Experts model (49B activated per token), built for frontier-level reasoning across a 1M-token context. Deployed through Terminal.Glass with inference running on Ollama Cloud at the extra-high usage tier -- currently the only access path, since no local weight release exists at this scale.

Quick Facts

DeveloperDeepSeek
LicenseMIT (per public listing -- verify against official model card before commercial use)
Typical Sizes1.6T total / 49B activated (MoE) -- cloud tag only, deepseek-v4-pro:cloud. No local weight tag listed on Ollama at this scale.
Context1M tokens, three reasoning modes (none / thinking / max thinking), native tool support
ModalityText only -- no vision/image input on this Ollama release
Best ForFrontier reasoning, difficult coding tasks, long-context analysis, demanding agent workflows
Recommended DeploymentTerminal.Glass Cloud tier, extra-high usage (only access path today)

Why Choose This Model

V4 Pro is DeepSeek's frontier-scale model -- a 1.6T-parameter MoE architecture with three selectable reasoning depths, letting you trade latency and cost for accuracy on a per-request basis. It's built for the hardest problems: complex multi-step coding, deep technical analysis, difficult agent chains, and long-context reasoning across up to 1M tokens. This scale of model is not something most organizations can host locally -- hosting 1.6T total parameters requires infrastructure far beyond a typical GPU workstation or small server, which is why cloud is the only practical way to run it today.

Terminal.Glass Deployment

Your interface, chat history, user accounts, and RAG index stay on your Terminal.Glass host. Each request to deepseek-v4-pro:cloud -- including prompt text, code excerpts, retrieved passages, and tool context -- is sent to Ollama Cloud for inference and streamed back. This tag is billed at Ollama's extra-high usage tier: expect among the highest per-token costs in the catalog, especially with 1M-token contexts, max-thinking mode, and agentic tool loops. No local GPU is required -- and none would be sufficient for this model at consumer or small-business scale even if a local tag existed.

Recommended Uses

Not recommended for regulated data, credentials, unpublished source code, or client-confidential material -- all request content leaves your network for this tag. Not suitable for vision or image-based tasks; this release is text-only. Reserve max-thinking mode for problems that justify the added latency and cost -- for routine drafting or simpler Q&A, a smaller DeepSeek cloud tag (e.g. V4 Flash or V3.2) is more cost-effective.

Hardware Guidance

The Terminal.Glass host needs to run Open WebUI, the Ollama client, and your document index -- a small VM or mini-PC is sufficient, since all inference happens on Ollama Cloud. At 1.6T total parameters, this model is well beyond what any local GPU setup accessible to most teams could serve; there is currently no local weight release for V4 Pro, and cloud is the only supported path. Watch the official Ollama listing for changes.

Honest Guidance

Learn More

Full technical reference and licensing detail for the DeepSeek family are documented on NoCloudGPT. Confirm current tags and availability at ollama.com/library/deepseek-v4-pro.

Deploy with Terminal.Glass → View Pricing Contact