# Gemini 3.8 Flash Cyber API Pricing

As of October 10, 2026, Gemini 3.8 Flash Cyber costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google Vertex AI, with cache reads at $0.15 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-3.8-flash-cyber
- Lab: Google
- LiteLLM model name: `vertex_ai/gemini-3.8-flash-cyber`
- Context window: 1,048,576 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: September 24, 2026
- 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 Vertex AI | `vertex_ai/gemini-3.8-flash-cyber` | $1.50 | $7.50 | $0.15 | – | – | 1M |

## Cost examples

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

- Google Vertex AI: $6.75
- Google Vertex AI batch: $3.375

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

- Google Vertex AI: $16.50

## Features

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

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="vertex_ai/gemini-3.8-flash-cyber",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Gemini 3.8 Flash Cyber cost?

Gemini 3.8 Flash Cyber costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google Vertex AI, with cache reads at $0.15 per 1M tokens. Batch requests cost $0.75 per 1M input tokens and $3.75 per 1M output tokens.

### What is the context window of Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber has a 1,048,576-token context window and returns up to 65,536 tokens per response.

### Which providers offer Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/gemini-3.8-flash-cyber.

### How do I call Gemini 3.8 Flash Cyber with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="vertex_ai/gemini-3.8-flash-cyber", 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 3.8 Flash Cyber support?

Gemini 3.8 Flash Cyber supports structured output, image input, PDF input, audio input, video input, reasoning and prompt caching. It does not support function calling and web search.

### When did LiteLLM add Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber was added to LiteLLM's model price file on September 24, 2026.

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