Verified September 2, 2026

Claude Fable 5.1 on Vertex AI

If your data already lives in GCP, Vertex is the natural front door — but Fable 5.1's quota, region list, and 30-day retention rules are not the same as calling Anthropic directly.

The short answer

Available in Vertex AI Model Garden as claude-fable-5-1@20260902 (check the current model version string in the console). Enable the Anthropic Claude models API in your GCP project, request quota if needed, and call through the Vertex predict endpoint or the Gen AI SDK. Billing flows through your GCP invoice; retention and safety rules are Anthropic's, not Google's.

Support status

Supported in Vertex AI Model Garden, verified September 2, 2026. Google added the Claude Fable 5.1 model card alongside the September Anthropic release. Availability is region-specific — not every GCP region carries every Claude model on day one. Enterprise features (VPC Service Controls, CMEK, Cloud Audit Logs) wrap the call, but Anthropic's 30-day mandatory retention on Fable 5.1 still applies to the inference payload.

Setup

Five steps — quota and region are where teams stall.

  1. 1

    Enable Vertex AI and the Claude models API

    In Google Cloud Console, enable the Vertex AI API and the Anthropic Claude models partner API for your project. Model Garden listings appear only after both are active.

  2. 2

    Confirm region availability

    Open Model Garden and filter for claude-fable-5-1 in your target region (commonly us-east5 or europe-west1 for Claude models — verify in console). Deploying to an unsupported region returns a model-not-found error that looks like a typo.

  3. 3

    Request quota if the default is zero

    New projects often start with zero TPM quota for partner models. File a quota increase request in IAM & Admin → Quotas, filtering for Vertex AI Anthropic Claude. Approval can take one to three business days.

  4. 4

    Call with the versioned model ID

    Use the full model resource name from Model Garden — typically projects/undefined/locations/undefined/publishers/anthropic/models/claude-fable-5-1@20260902. Pass effort through the Anthropic-compatible parameters; omit temperature.

  5. 5

    Wire observability and fallback

    Enable Cloud Logging for predict calls. Configure client-side fallback for stop_reason refusal — Vertex forwards Anthropic refusals as successful responses, same as the direct API.

Gotchas

Enterprise wrappers do not rewrite Anthropic's model rules.

  • Default quota is often zero

    Unlike direct Anthropic keys with default rate limits, Vertex partner-model quota starts at zero for many projects. Production deploys fail with RESOURCE_EXHAUSTED until quota is approved — plan ahead.

  • Region list changes

    Claude models roll out region by region on Vertex. Hard-coding a region in infrastructure-as-code without checking Model Garden leads to drift when Google expands availability — or shrinks it during incidents.

  • VPC-SC does not remove 30-day retention

    VPC Service Controls keep traffic inside your GCP perimeter, but Fable 5.1's mandatory 30-day retention is an Anthropic policy on the inference payload. VPC-SC is not a substitute for zero-data-retention — if ZDR is required, Fable 5.1 is not an option.

  • GCP billing ≠ Anthropic console visibility

    Usage appears on your GCP invoice under Vertex AI partner model charges, not in the Anthropic console. Cross-charging teams need a billing export or labels — do not assume the Anthropic dashboard reflects Vertex-routed traffic.

Cost notes

Vertex list rates for Fable 5.1 mirror Anthropic published pricing ($10/$50 per million input/output as of September 2026) plus standard GCP egress where applicable. Committed use discounts on GCP compute do not apply to partner model inference. Prompt caching discounts apply when you send cache_control markers through the Vertex Anthropic-compatible endpoint.

Compare Vertex vs direct Anthropic billing

If you are already choosing between cloud fronts, our AWS Bedrock guide covers the same trade-offs from the other hyperscaler.

FAQ