yangmao.ai · Python setup money page

Google Vertex AI Python API Setup

Use this page when you need a working Python starting point for Google Vertex AI, then validate quota and model names in the official console before production.

Open official provider → Get one OpenAI-compatible key → Compare API gateway options →

Quick verdict

Free API: Not confirmed in the current snapshot
Rate limits: Google Cloud quota-based by project, region, and model
Best model starting point: Gemini on Vertex AI
Mainland China access: proxy/relay likely needed

Provider fit matrix

Best fit RAG, semantic search, reranking, and retrieval pipelines

Watch out Not a general chat model; pair it with an LLM API for generation

Production fallback Keep at least one compatible backup provider before shipping

Google Vertex AI enterprise buyer intent notes

Who should care

Best for Google Cloud teams that need Gemini, embeddings, Imagen, MLOps, IAM, logging, quota management, and production governance.

Decision trigger

Use Vertex AI when Google Cloud integration and enterprise controls matter more than the lightweight Gemini AI Studio test path.

Watch out: Project billing, region quota, IAM, model availability, safety behavior, and China access fallback all need validation before launch.

Vertex AI pricingGCP quota and cost checks Gemini free APICompare AI Studio test path Gemini vs ChatGPTModel and API tradeoffs

Production readiness checklist

Quota gate No confirmed free API quota is recorded; verify Google Vertex AI docs before collecting keys.

No-card check Assume billing may be required unless the official dashboard says otherwise.

Regional smoke test Run signup, dashboard, DNS, TLS, and first API call checks from mainland China before launch.

Source freshness Snapshot date: 2026-06-09; official quota and pricing can change without notice.

Python setup snapshot

Start with the smallest possible embeddings request, then move the key to your server-side secret manager before production.

import os
from google import genai
from google.genai.types import HttpOptions

client = genai.Client(
    vertexai=True,
    project=os.environ["GOOGLE_CLOUD_PROJECT"],
    location=os.environ.get("GOOGLE_CLOUD_LOCATION", "us-central1"),
    http_options=HttpOptions(api_version="v1"),
)

response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents="Hello from yangmao.ai",
)
print(response.text)

Free API and pricing notes

No confirmed standalone no-card free API; Google Cloud trial credits may apply by account

Vertex AI is Google Cloud's enterprise AI platform and is not the same as a lightweight Google AI Studio free key. It usually requires a GCP project, billing, IAM, region selection, and quota. Google Cloud trial credits may fund testing, but verify quotas, pricing, logs, and budget alerts before production.

Access and production risk

Relay or proxy may be needed

Direct Mainland China access to Google Cloud/Vertex AI often has network and compliance uncertainty; prepare Gemini alternatives, local China providers, or an API relay for China-facing users.

How to set it up

Create or locate your provider API key in the official dashboard.

Install the provider SDK or requests dependency shown in the example.

Set the API key in an environment variable instead of hard-coding secrets.

Run a small Google Vertex AI embeddings request with Gemini on Vertex AI.

Watch free credits, RPM/TPM limits, response shape, and error messages before scaling.

Credit-change alerts

Want to know when free credits, pricing, or availability changes? Subscribe first, then compare official providers, API gateways, and alternatives.

Subscribe → Get an OpenLLMAPI key → Compare API gateways →

Source snapshot

Data source: yangmao.ai provider YAML tracker plus provider docs reviewed by the daily crawler. Official dashboards can change quota and pricing without notice; verify before production.

yangmao.ai provider id: google-vertex-ai
Official source: https://cloud.google.com/vertex-ai
Last updated: 2026-06-09
Free tier: Requires a Google Cloud project, billing, and regional model quota
API credits: No confirmed standalone no-card free API; Google Cloud trial credits may apply by account
Rate limit: Google Cloud quota-based by project, region, and model
Access note: Direct Mainland China access to Google Cloud/Vertex AI often has network and compliance uncertainty; prepare Gemini alternatives, local China providers, or an API relay for China-facing users.

FAQ

Does Google Vertex AI have a free API?

No confirmed free API is recorded in the current yangmao.ai snapshot; use the official docs as source of truth before signing up.

Is Google Vertex AI OpenAI-compatible?

This snapshot uses a provider-specific embedding API example. If your app requires one stable OpenAI-compatible endpoint, use an aggregator or relay after checking Google Vertex AI docs.

Can I use Google Vertex AI from mainland China?

Google Vertex AI may need a proxy or relay from mainland China. Test latency and signup before production.

What should I do when Google Vertex AI credits run out?

Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.

When should I use Vertex AI instead of Gemini AI Studio?

Use Vertex AI when you need Google Cloud IAM, projects, logging, MLOps, production quotas, and enterprise governance; use AI Studio for faster lightweight API testing.