Hello Google Cloud Community,
We are running an AI-powered platform in production. Our primary workload and database are deployed in the europe-west1 region, and our core LLM application logic is explicitly configured to use the gemini-3.5-flash model via the GCP Vertex AI API (not Google AI Studio).
As our enterprise user base and concurrent document-processing workloads are growing, we are starting to hit rate limits (HTTP 429 RESOURCE_EXHAUSTED), and we want to proactively scale up our capacity.
However, we are having trouble identifying the exact quota rows inside the Google Cloud Console “Quotas & System Limits” dashboard, and we do not currently have a paid Technical Support plan to open technical cases.
We would appreciate advice from the community and Google experts on the following:
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Quota Mapping: Under which specific GCP Quota metrics (and dimensions) are the Requests Per Minute (RPM) and Tokens Per Minute (TPM) for the gemini-3.5-flash model tracked in europe-west1/global? Are they shared with gemini-1.5-flash / generic “Generate content” metrics, or are there dedicated limits we should search for?
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Location/Region: Since we are using “global” model routing (GOOGLE_CLOUD_LOCATION=global) but our app is hosted in europe-west1, which region dimensions should we submit the quota increases for?
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Recommended Limits: We would like to request:
- Tokens Per Minute (TPM): 40,000,000 (40 Million)
- Requests Per Minute (RPM): 3,000
- Generate content concurrent requests: 100
Do you guys have an experience with requesting such limit increases for Gemini 3.5 Flash, and what is the best way to get them approved quickly for a growing startup?
Thank you in advance for your guidance!