Calculate costs and private prices

Turn a deployment and a realistic token profile into a deterministic quote before cost reaches production.

In the app:Cost engineOpen screen

What the cost engine prevents

Provider prices use different units and can include cached-input or batch discounts. A deterministic ALLM quote lets product, finance, and engineering compare the same usage profile without spreadsheet drift.

Calculate a quote

  1. Copy a deployment public ID from Registry.
  2. Enter representative input, cached-input, and output token counts.
  3. Enable Batch request only if the workload will actually use batch execution.
  4. Select Calculate quote. The latest result shows the total and line-item calculation returned by the live API.

Interpret the result

total_usd
The deterministic total for this usage profile.
line_items
The contribution from input, cached input, output, and applicable adjustments.
rate_card
The rates and evidence timestamp used in the calculation.
deployment_id
The exact serving deployment priced—not only the model release.

A quote is not a provider invoice

It estimates model usage from published or workspace-specific rates. Network, platform, tax, minimum-spend, and unrelated provider charges may still apply.

Private price books

Pro and Business workspaces can store negotiated rates, regional adjustments, batch discounts, or commercial uplift. Rules match a deployment, provider, model, or region and are versioned as workspace data.

Example rules
[
  {
    "match": { "provider_id": "openai", "region": "eu" },
    "rate": {
      "multiplier": 0.90,
      "region_multiplier": 1.05,
      "batch_multiplier": 0.50,
      "uplift_multiplier": 1.02
    }
  }
]

Create a new price book when contract terms change rather than silently editing the assumptions behind an earlier decision.

Limits and access

  • Public quotes are available without a paid price-book feature.
  • Private price books require Pro or Business and an owner, admin, or billing role.
  • Use integer token counts and a representative workload profile.