Model catalogDeepSeek
DeepSeek V4 Pro
The largest model in the catalog, for the hardest problems. Served with vLLM behind your own private, OpenAI-compatible /v1 endpoint — billed by the second, terminate anytime.
1.6T MoE · 49B act · FP8 · 1M context · 8× 288 GB · per-second billing
01Specifications
The specs the launcher enforces.
Architecture, served precision, max context, the minimum GPU shape, and the exact pinned weights — the facts that decide how DeepSeek V4 Pro runs and what it costs.
| Spec | Value |
|---|---|
| Architecture | 1.6T MoE · 49B act |
| Served precision | FP8 |
| Max context | 1M |
| Minimum GPU shape | 8× 288 GB |
| Weights served | deepseek-ai/DeepSeek-V4-Pro@b5968e9 |
Runs on 8× 288 GB · billed per second — final cost depends on the GPU shape.
Full pricing →02How it runs
A private endpoint, not a shared API.
Launching DeepSeek V4 Pro runs the model on your own instance and gives you a private, OpenAI-compatible /v1 endpoint and API key. Point any OpenAI-compatible SDK at your base URL, change the model name, and existing code works. The endpoint is yours alone — terminate the instance and it goes away with it.
Billing is by the second on the 8× 288 GB shape the launcher enforces, from boot to terminate. No commitment and no tier gates.
Limited GPU supply
8× 288 GB (B300) is the only shape with enough total VRAM for this model, and it is the scarcest node on the market — often zero available. If the launch flow shows no compute, check back later.
03Get started
Launch DeepSeek V4 Pro now.
One private OpenAI-compatible endpoint, one key, billed by the second. The console opens with DeepSeek V4 Pro preselected.