BigQuery ML

BigQuery ML remote models that call Vertex AI (Gemini Enterprise Agent Platform) models such as Gemini and Claude from SQL via ML.GENERATE_TEXT.

Fee on tokens

Not published

Pricing model

BigQuery bytes processed (on-demand or editions) plus the underlying Vertex AI model charges billed directly by that service; no separate BigQuery per-token rate for LLM calls

Bring your own key

No

Entry plan

Usage based

Hosting

Hosted

Features stated: none found. Not stated: Fallbacks, Load balancing, Caching, Guardrails, Observability, Rate limits, Budgets, Prompts, OpenAI-compatible, Bring your own key, Data residency, Private networking.

The terms, in their words

Markup

BigQuery bytes processed (on-demand or editions) plus the underlying Vertex AI model charges billed directly by that service; no separate BigQuery per-token rate for LLM calls

Providers

Google models on Agent Platform, Anthropic Claude models enabled on Agent Platform, and open models deployed to Agent Platform

• The bytes processed by BigQuery are billed according to standard pricing such as on-demand or editions pricing.
• For remote endpoint model pricing, you are billed directly by the above services.
• Google models hosted on Gemini Enterprise Agent Platform ML.GENERATE_TEXT ML.GENERATE_EMBEDDING Generative AI on Gemini Enterprise Agent Platform batch pricing

Source: cloud.google.com/bigquery/pricing

BigQuery, the Gemini Enterprise Agent Platform (formerly Vertex AI), the Gemini API, Looker, AlloyDB and Spanner.

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