Hi, this behavior is expected, but the error message lacks context.
What you’re seeing with the “0 to 0” quota range is not a temporary glitch or misconfiguration. It indicates that your project is currently not eligible for that model at all, so the quota system is effectively locked rather than limited.
Why this happens
For Anthropic models (e.g. anthropic-claude-sonnet-4-6) on Google Cloud Vertex AI, access is not governed by quotas alone. There is an eligibility layer evaluated before quotas are even considered.
That eligibility is based on a combination of:
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Billing account maturity (not just “active,” but established)
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Verified spend history (beyond free trial usage)
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Prior usage of Vertex AI services
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Internal trust/risk signals applied to third-party models like those from Anthropic
If those signals are insufficient, the system sets:
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Minimum quota = 0
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Maximum quota = 0
Which is exactly what you’re seeing.
Why upgrading from free trial doesn’t immediately fix it
Moving from trial → paid enables billing, but does not instantly move your account into a higher trust tier.
There is typically a delay while the system evaluates:
During this period, partner models can remain inaccessible even though everything appears correctly configured.
What actually resolves this
There isn’t a single “toggle,” but there are three reliable paths:
1) Build usage history inside Vertex AI (most consistent)
Use available Google-native models first (e.g. Gemini) within Google Cloud Vertex AI:
This directly addresses the “service usage history” requirement in the error.
2) Submit a support request (not a quota increase)
Quota requests will continue to fail automatically. Instead, go through Google Cloud Support and open a ticket under:
- Vertex AI → Generative AI → Model access
Include:
This routes to a manual review path, which the quota UI does not.
3) Use account-level escalation (if available)
If you have access to a Google Cloud account manager or partner channel, they can:
This is often the fastest path in production environments.
Additional note on architecture
Anthropic models on Vertex AI are dual-gated:
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Google Cloud eligibility
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Partner (Anthropic) access controls
So even with:
Access can still be restricted until both layers are satisfied.
Practical takeaway
The error message is accurate but incomplete. It’s not saying “try again later,” it’s saying:
“This project has not yet met the internal criteria required to access this model.”
The resolution is therefore not to retry the quota request, but to: