Cloud AI Platform | Verified 2026-06-30
Google Vertex AI pricing and capability profile.
Evaluate Vertex AI generative model pricing, provider coverage, context, APIs, quotas, compliance, and data-governance terms.
Pricing, limits, security, and retention
| Pricing | Usage-based Google Cloud pricing varies by model, modality, tokens, endpoints, tuning, agents, search, grounding, and infrastructure features. |
|---|---|
| Free tier | Google Cloud credits or product-specific no-cost quotas may apply, but production should assume paid cloud billing and quota governance. |
| Model provider | Google Cloud with Gemini, Google models, and selected partner/open models depending on region and feature. |
| Context length | Varies by model and deployment route. Use Vertex AI model reference tables for exact context and modality limits. |
| API availability | Public Google Cloud APIs, SDKs, console, model endpoints, model garden, and enterprise IAM controls. |
| Rate limits | Quota is project, region, model, endpoint, and request type specific through Google Cloud quota controls. |
| SOC2/security page | Google Cloud publishes SOC 2 and broader compliance documentation for eligible services; confirm service scope for the specific Vertex AI feature. |
| Data retention terms | Google Cloud states customer data is not used to train Google foundation models without permission, subject to the selected service terms and configuration. |
| Target users | Enterprises needing Gemini access with cloud procurement, IAM, audit logs, VPC-style controls, quota management, and regional governance. |
| Alternatives | AWS Bedrock, Azure OpenAI Service, IBM watsonx.ai, OpenAI API, Anthropic Claude API |
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