Google pricing is attractive when you want lower-cost throughput and multimodal flexibility. The tradeoff is that the pricing language can feel less intuitive at first glance.
Pricing source:https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing
Last verified: 2026-07-17
Homepage: https://ai.google.dev/
The point of this page is not to replace the calculator. It is to help you narrow the comparison before you start plugging in prompt sizes and monthly volume.
The cards below give you the fast view: input price, output price, cached-input price, and context window. After that, the best next step is usually to open the model inside the calculator and test it against your own scenario.
Google's balanced Gemini rate card for general multimodal workloads.
Seeded from Google Cloud Priority pricing for text/image/video input and text output.
Open in calculatorLower-cost Google Gemini model for lightweight or high-throughput flows.
Seeded from Google Cloud Priority pricing for text/image/video input and text output.
Open in calculatorUse this provider page when you are still deciding which family of models belongs in the conversation. It is the “narrow the field” layer, not the final budget layer.
Once the provider choice feels plausible, the right move is to run a scenario in the AI cost calculator.
Model token costs, request volume, and scenario-based monthly spend without guesswork.
Open calculatorCheck monthly payment with taxes, insurance, HOA, and a more realistic ownership picture.
Open calculatorWork backward from income, debts, and down payment into a realistic house budget band.
Open calculator