yangmao.ai · cURL setup money page
Google Vertex AI cURL API Setup
Use cURL to smoke-test Google Vertex AI before wiring SDK code. Confirm the exact endpoint, model name, and quota in the provider dashboard.
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
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.
Production readiness checklist
cURL smoke test
Use this to verify endpoint, auth header, model name, response shape, and quota before adding SDK abstractions.
curl https://api.provider.example/v1/embeddings \
-H "Authorization: Bearer $GOOGLE_VERTEX_AI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Gemini on Vertex AI",
"input": "Hello from yangmao.ai"
}'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 an API key and copy the provider endpoint from official docs.
Export the key into your shell session.
Send a minimal embeddings request payload with cURL.
Check status code, JSON body, and rate-limit headers.
Move the tested endpoint into your app or fallback relay.
额度变动提醒
想知道免费额度、价格或可用性变化？先订阅提醒，后续也可以对比官方平台、API 网关和同类替代方案。
订阅提醒 → 获取 OpenLLMAPI Key → 比较 API 网关 →Related internal links
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.