Gemini AI Cost Calculator
Calculate what Google's Gemini models will cost for your app. Includes Gemini 2.0 Flash, 1.5 Pro, and more.
Select your model
Gemini 2.0 Flash
Latest fast Gemini
Gemini 1.5 Pro
Massive context window
Gemini 1.5 Flash
High volume tasks
Gemini 1.0 Pro
Stable production model
Set your usage
How many tokens are in your prompt or message
How many tokens the AI writes back
Review results
Cost as you grow
| Users | Requests / Mo | Monthly | Yearly |
|---|---|---|---|
| 100 | 3.0M | $390.00 | $4,680.00 |
| 1.0K | 30.0M | $3,900.00 | $46,800.00 |
| 10.0K | 300.0M | $39,000.00 | $468.0K |
| 100.0K | 3000.0M | $390.0K | $4.7M |
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Google Gemini Pricing
Prices are in USD per 1 million tokens. Last verified: 2026.
| Model | Input / 1M | Output / 1M | Context | Best For |
|---|---|---|---|---|
Gemini 2.0 Flash fast | $0.1000 | $0.4000 | 1M | Latest fast Gemini |
Gemini 1.5 Pro flagship | $3.50 | $10.50 | 2M | Massive context window |
Gemini 1.5 Flash fast | $0.0750 | $0.3000 | 1M | High volume tasks |
Gemini 1.0 Pro standard | $0.5000 | $1.50 | 32K | Stable production model |
Gemini 2.0 Flash
Latest fast Gemini
Gemini 1.5 Pro
Massive context window
Gemini 1.5 Flash
High volume tasks
Gemini 1.0 Pro
Stable production model
Always confirm at the provider's official pricing page before making business decisions.
How Gemini pricing works
Google's Gemini models are priced per token through Google AI Studio and Vertex AI. Google offers one of the most flexible pricing models in the industry, including a generous free tier for developers to prototype and test their applications before scaling.
Gemini 2.0 Flash is a standout in the market, offering exceptional speed and low latency at a very competitive price point. At just $0.10 per million input tokens, it is one of the most affordable ways to bring high-quality AI intelligence to high-volume applications.
For deep reasoning and massive data processing, Gemini 1.5 Pro offers an unprecedented 2 million token context window. This industry-leading capacity allows developers to process vast amounts of information—such as lengthy technical documentation or hours of video—in a single prompt, opening up entirely new possibilities for AI integration.
