Gemini in Looker pricing consists of a base subscription (Standard, Enterprise, or Embed) via sales quote, plus usage-based fees of $3 per 1M input tokens and $20 per 1M output tokens for conversational analytics.
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Looker (Google Cloud core) requires an annual subscription for its Standard, Enterprise, or Embed Platform editions. Organizations must contact sales for specific pricing, which is available in one, two, or three-year terms.
Usage-based costs apply specifically to conversational analytics features. These are billed based on the volume of data processed, with distinct rates for input and output tokens.
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Looker (Google Cloud core) — Standard Edition | Contact sales | per year | Call sales for pricing. Annual subscriptions available in 1, 2, and 3-year terms. For organizations with fewer |
| Looker (Google Cloud core) — Enterprise Edition | Contact sales | per year | Call sales for pricing. Annual subscriptions available in 1, 2, and 3-year terms. Also referred to as Advanced |
| Looker (Google Cloud core) — Embed Platform | Contact sales | per year | Call sales for pricing. Annual subscriptions available in 1, 2, and 3-year terms. Also referred to as Elite ti |
14-day free trial. No credit card required.
| Model / rate | Price | Unit |
|---|---|---|
| Conversational Analytics in Looker — Input Data Tokens | $3 | per 1M input tokens |
| Conversational Analytics in Looker — Output Data Tokens | $20 | per 1M output tokens |
Conversational analytics fees are split between what you send to the model and what it returns. Input tokens, representing your queries and data context, cost $3 per million. Output tokens, which are the responses and visualizations generated by the AI, are priced significantly higher at $20 per million.
14-day free trial. No credit card required.
Google Cloud provides three core tiers: Standard, Enterprise (Advanced), and Embed (Elite). All require a direct sales engagement for pricing. Choosing between them depends on your organization's size and whether you intend to embed analytics into external applications.
To justify the investment, finance leaders must compare the total cost of tokens and subscriptions against the reduction in manual reporting hours. NetLift enables teams to quantify this break-even point by measuring the time saved on ad-hoc data requests against the baseline cost of data analyst cycles.
All pricing on this page comes from official vendor pages:
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About the author
Paige Gilmore · Founder, NetLift
Paige Gilmore is the founder of NetLift, the AI Value Management platform that helps organisations measure the cost, savings and return of AI adoption.
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