# Gemini Flash API Pricing

As of October 10, 2026, Gemini Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens on Google AI Studio, with cache reads at $0.075 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-flash
- Lab: Google
- LiteLLM model name: `gemini-flash-latest`
- Context window: 1,048,576 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: October 2025
- 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-flash-latest` | $0.75 | $3.75 | $0.075 | – | – | 1M |
| Google AI Studio (latest alias) | `gemini/gemini-flash-latest` | $0.75 | $3.75 | $0.075 | – | – | 1M |

## Cost examples

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

- Google AI Studio: $3.375
- Google AI Studio batch: $1.688

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

- Google AI Studio: $8.25

## Features

Supported: Function calling, Parallel tool calls, Structured output, Image input, PDF input, Audio input, Video input, Reasoning, Prompt caching, Web search.
Not supported: Audio output.

## Use it with LiteLLM

```python
from litellm import completion

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

## FAQ

### How much does Gemini Flash cost?

Gemini Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens on Google AI Studio, with cache reads at $0.075 per 1M tokens. Batch requests cost $0.375 per 1M input tokens and $1.875 per 1M output tokens.

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

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

### Which providers offer Gemini Flash?

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

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

Use the LiteLLM Python SDK with model="gemini-flash-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 Flash support?

Gemini Flash supports function calling, parallel tool calls, structured output, image input, PDF input, audio input, video input, reasoning, prompt caching and web search. It does not support audio output.

### When did LiteLLM add Gemini Flash?

Gemini Flash was added to LiteLLM's model price file in October 2025.

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