# Gemini Pro API Pricing

As of October 10, 2026, Gemini Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens on Google AI Studio, with cache reads at $0.20 per 1M tokens. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/gemini-pro
- Lab: Google
- LiteLLM model name: `gemini-pro-latest`
- Context window: 1,048,576 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: December 2023
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Google AI Studio (latest alias) | `gemini-pro-latest` | $2.00 | $12.00 | $0.20 | – | – | 1M |
| Google AI Studio (latest alias) | `gemini/gemini-pro-latest` | $2.00 | $12.00 | $0.20 | – | – | 1M |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Google AI Studio: $10.00
- Google AI Studio batch: $5.00

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Google AI Studio: $22.40

## Features

Supported: Function calling, Structured output, Image input, PDF input, Audio input, Video input, Reasoning, Prompt caching, Web search.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="gemini-pro-latest",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Gemini Pro cost?

Gemini Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens on Google AI Studio, with cache reads at $0.20 per 1M tokens. Batch requests cost $1.00 per 1M input tokens and $6.00 per 1M output tokens. Above 200K input tokens, input costs $4.00 and output costs $18.00 per 1M tokens.

### What is the context window of Gemini Pro?

Gemini Pro has a 1,048,576-token context window and returns up to 65,536 tokens per response.

### Which providers offer Gemini Pro?

Gemini Pro is available from Google AI Studio through LiteLLM, using the model name gemini-pro-latest.

### How do I call Gemini Pro with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="gemini-pro-latest", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Gemini Pro support?

Gemini Pro supports function calling, structured output, image input, PDF input, audio input, video input, reasoning, prompt caching and web search.

### When did LiteLLM add Gemini Pro?

Gemini Pro was added to LiteLLM's model price file in December 2023.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json