> ## Documentation Index
> Fetch the complete documentation index at: https://docs.splox.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Google Gemini

> Access Google's Gemini models through Splox with transparent pricing

<Card>
  **Google Gemini** provides multimodal AI capabilities:

  * **Advanced reasoning** with Gemini 2.5 and 3.0
  * **Multimodal understanding** (text, image, audio)
  * **Prompt caching** for cost optimization
  * **Cost-effective** options with Flash variants
</Card>

***

## Available Models

### Gemini 3 Pro

Next-generation model with enhanced capabilities and prompt caching.

| Model                    | Input    | Output    | Cache Read | Best For                 |
| ------------------------ | -------- | --------- | ---------- | ------------------------ |
| **Gemini 3 Pro Preview** | \$2.60/M | \$15.60/M | \$0.26/M   | Cutting-edge performance |

<Info>
  Gemini 3 Pro supports **prompt caching** - reuse context at 90% discount.
</Info>

### Gemini 2.5 Pro

Most capable current-gen models for complex tasks.

| Model                              | Input    | Output    | Best For                           |
| ---------------------------------- | -------- | --------- | ---------------------------------- |
| **Gemini 2.5 Pro**                 | \$1.62/M | \$13.00/M | Production apps, complex reasoning |
| **Gemini 2.5 Pro Preview (06-05)** | \$1.62/M | \$13.00/M | Latest preview features            |
| **Gemini 2.5 Pro Preview (05-06)** | \$1.62/M | \$13.00/M | Stable preview                     |
| **Gemini 2.5 Pro Preview (03-25)** | \$1.62/M | \$13.00/M | Earlier preview                    |
| **Gemini 2.5 Pro Exp (03-25)**     | \$1.62/M | \$13.00/M | Experimental features              |

### Gemini 2.5 Flash

Fast, cost-efficient models for high-volume tasks.

| Model                                         | Input    | Output   | Best For                   |
| --------------------------------------------- | -------- | -------- | -------------------------- |
| **Gemini 2.5 Flash**                          | \$0.20/M | \$3.25/M | Fast inference, production |
| **Gemini 2.5 Flash Preview (05-20)**          | \$0.20/M | \$0.78/M | Latest features            |
| **Gemini 2.5 Flash Preview (04-17)**          | \$0.20/M | \$0.78/M | Standard preview           |
| **Gemini 2.5 Flash Preview (04-17 Thinking)** | \$0.20/M | \$4.55/M | Extended reasoning mode    |
| **Gemini 2.5 Flash Lite Preview (06-17)**     | \$0.13/M | \$0.52/M | Ultra-lightweight          |

***

## Best Practices

### Model Selection

<CardGroup cols={2}>
  <Card title="Use Gemini 3 for" icon="sparkles">
    * Cutting-edge features
    * Latest capabilities
    * Prompt caching needs
    * Advanced reasoning
  </Card>

  <Card title="Use 2.5 Pro for" icon="crown">
    * Complex reasoning tasks
    * Production applications
    * High-quality outputs
    * When accuracy matters
  </Card>

  <Card title="Use Flash for" icon="zap">
    * High-volume tasks
    * Fast responses needed
    * Cost-sensitive workloads
    * Simple queries
  </Card>
</CardGroup>

### Prompt Caching (Gemini 3)

<Card>
  **Optimize costs with prompt caching on Gemini 3 Pro:**

  * **Cache Read**: \$0.26/M (90% cheaper than input)
  * **Use case**: Repeated system prompts, documentation, knowledge bases
  * **Strategy**: Place cacheable content at the start of your prompt

  **Example savings:**

  * 100K context without cache: \$260/1M requests
  * With cache: \$26/1M requests = **90% savings**
</Card>

### Context Windows

Gemini models support large context:

* **Gemini 3 Pro**: Up to **2M tokens**
* **Gemini 2.5 Pro**: Up to **2M tokens**
* **Gemini 2.5 Flash**: Up to **1M tokens**

***

## Support

Need help with Gemini integration?

<CardGroup cols={2}>
  <Card title="Google AI Documentation" icon="book" href="https://ai.google.dev/gemini-api/docs">
    Official Gemini documentation
  </Card>

  <Card title="Google AI Pricing" icon="dollar-sign" href="https://ai.google.dev/pricing">
    Official pricing details
  </Card>

  <Card title="Splox Docs" icon="file-text" href="https://docs.splox.io/introduction">
    Browse our guides
  </Card>

  <Card title="Community" icon="users" href="https://community.splox.io">
    Get help from the community
  </Card>
</CardGroup>