Models

deepseek-r1-0528 β€” API, Pricing & Context Window | Vivgrid

deepseek-r1-0528 on Vivgrid: DeepSeek's reasoning-focused R1 model with a 164K context window, available through one unified API.

deepseek-r1-0528 is a reasoning-focused release from DeepSeek's R1 line, tuned to think through multi-step problems with explicit chains of reasoning. It offers a 164K-token context window for long, complex tasks.

Vivgrid serves deepseek-r1-0528 through its unified, OpenAI-compatible API, so you can mix DeepSeek's reasoning model into agent pipelines alongside other providers using one key.

Specifications

ProviderDeepSeek
Model IDdeepseek-r1-0528
Best forGeneral-purpose
Available onChat Completions
Context window163,840 tokens
ModalitiesText
Tool / function callingYes
Knowledge cutoff2024-07
Acceleration🌐 Global (Centralized)

Pricing

Pricing in USD per 1M tokens.

InputCached inputOutput
$1.35β€”$5.40

What one request costs

The rates above applied to a 20K-token prompt with a 2K-token reply β€” a typical single agent turn, small enough that every request is billed at the base rate.

RequestCost
Cold prompt, nothing cached$0.0378

API surfaces

The Vivgrid Console catalogs deepseek-r1-0528 on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.

SurfacePrimary endpointUse it for
Chat Completions/chat/completionsAgent projects, where Vivgrid injects the model, system prompt and tools server-side, and Model API calls that name the model per request.

Quick start

Get an API key from the Vivgrid Console, then call deepseek-r1-0528 directly.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1-0528",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

  • Multi-step reasoning and problem solving
  • Math, logic, and analytical tasks
  • Workflows that benefit from explicit reasoning traces
  • Cost-effective alternative to frontier reasoning models

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