Model FatigueLLMs under $1, measured — and who holds your data
Providers

google

Google Gemini API

8 models on Google Gemini API, with the price per million tokens and who ends up holding your prompt.

Company based in
🇺🇸 United States
How it serves
Runs 8 models itself
Training on your prompts
off by default
Data policy source
ai.google.dev
Policy checked
2026-10-20

38 model retirements from Google Gemini API →

Models

ModelInput $/MOutput $/MBlended*Holds your promptTraining
Gemini 2.5 Pro$1.25$10.00$3.44runs it 🇺🇸 United Statesoff by default
Gemini 3 Flash Preview$0.50$3.00$1.13runs it 🇺🇸 United Statesoff by default
Gemini 3.1 Flash Lite$0.25$1.50$0.56runs it 🇺🇸 United Statesoff by default
Gemini 3.1 Pro Preview$2.00$12.00$4.50runs it 🇺🇸 United Statesoff by default
Gemini 3.5 Flash Lite$0.30$2.50$0.85runs it 🇺🇸 United Statesoff by default
Gemini 3.6 Flash$0.75$3.75$1.50runs it 🇺🇸 United Statesoff by default
Gemini 3.8 Flash$0.75$3.75$1.50runs it 🇺🇸 United Statesoff by default
Gemini 4 Argon$2.00$10.00$4.00runs it 🇺🇸 United Statesoff by default

Blended is our calculation: (3 × input + output) ÷ 4, US dollars per million tokens — most calls read far more than they write. Tiers that are cheaper because they train on your data are not used for the “from” price.