pricing guide

AI gateway pricing

Plan Bifrost gateway pricing with provider costs, routing policies, failover risk, cache savings, and a paid review workspace.

What searchers usually need

Teams need to forecast provider spend before they route OpenAI-compatible traffic through a gateway.

When this matters

  • The team needs provider choice, cost, fallback, and owner approval in one place.
  • Existing app traffic depends on OpenAI-compatible behavior and cannot tolerate unclear route changes.
  • Reviewers need a short evidence package rather than a scattered thread of screenshots and assumptions.

Product-led checklist

Model expected requests, providers, cache hit assumptions, fallback rules, and owner approvals before starting checkout.

  • Input: Compare one primary model, one fallback model, expected monthly requests, latency tolerance, and cacheable prompt share.
  • Output: A pricing review with provider assumptions, risk notes, plan selection, and checkout-ready next steps.
  • Limit: remove secrets, raw API keys, customer data, and regulated personal information before submission.

How Bifrost Gateway Cloud supports it

  1. Capture provider profiles, model aliases, route purpose, and budget guardrails.
  2. Map fallback policy, review mode, region, and owner signoff before package selection.
  3. Generate a gated workspace preview with usage notes, risk flags, and export fields.
  4. Route the team through pricing and product-domain checkout before unlocking paid workflow history.

What a strong output includes

  • Route summary with provider and fallback assumptions.
  • Cost and usage notes matched to the selected package.
  • Team comments, owner, review state, and support handoff path.
  • Exportable report or receipt for later audit.

Fit and limits

Use Bifrost Gateway Cloud when a gateway decision needs repeatable evidence and plan-aware checkout. A spreadsheet is enough for a one-off, low-risk estimate with no provider fallback, team review, or handoff requirement.