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

# Models Available

The LLM Gateway supports a comprehensive range of models from OpenAI, Anthropic, and Google Gemini.

For the latest official model information and pricing, see:

* [OpenAI Models & Pricing](https://platform.openai.com/docs/pricing)
* [Anthropic Models](https://docs.claude.com/en/docs/about-claude/models/overview)
* [Google Gemini Models](https://ai.google.dev/gemini-api/docs/models)

<Info>
  Don't see your model? We're always adding new models based on user needs. [Contact our support team](https://smart-forms.saasjet.com/external?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjbGllbnRLZXkiOiJlZmZmN2JhYy0xMzZlLTNkOTUtOGIxYi1hMWQ3NWNkZWM3NGYiLCJpYXQiOjE3NTY4NDc1MDc0MDl9.Q33DbNtKAfZvsY0qs4hOfTBAzLic-VPhTrIusjkOMtI) to request support for additional models.
</Info>

<Tabs>
  <Tab title="OpenAI" icon="brain">
    ## GPT-5 Series

    | Model        | Input Price              | Output Price           |
    | ------------ | ------------------------ | ---------------------- |
    | `gpt-5`      | \$0.00125 per 1K tokens  | \$0.01 per 1K tokens   |
    | `gpt-5-mini` | \$0.00025 per 1K tokens  | \$0.002 per 1K tokens  |
    | `gpt-5-nano` | \$0.00005 per 1K tokens  | \$0.0004 per 1K tokens |
    | `gpt-5-pro`  | ChatGPT Pro subscription | (\$200/month)          |

    ## GPT-4 Series

    | Model          | Input Price             | Output Price           |
    | -------------- | ----------------------- | ---------------------- |
    | `gpt-4`        | \$0.03 per 1K tokens    | \$0.06 per 1K tokens   |
    | `gpt-4-turbo`  | \$0.01 per 1K tokens    | \$0.03 per 1K tokens   |
    | `gpt-4o`       | \$0.0025 per 1K tokens  | \$0.01 per 1K tokens   |
    | `gpt-4o-mini`  | \$0.00015 per 1K tokens | \$0.0006 per 1K tokens |
    | `gpt-4.1`      | \$0.002 per 1K tokens   | \$0.008 per 1K tokens  |
    | `gpt-4.1-mini` | \$0.0004 per 1K tokens  | \$0.0016 per 1K tokens |
    | `gpt-4.1-nano` | \$0.0001 per 1K tokens  | \$0.0004 per 1K tokens |

    ## O-Series (Reasoning Models)

    | Model     | Input Price            | Output Price           |
    | --------- | ---------------------- | ---------------------- |
    | `o1`      | \$0.015 per 1K tokens  | \$0.06 per 1K tokens   |
    | `o1-pro`  | \$0.15 per 1K tokens   | \$0.60 per 1K tokens   |
    | `o3`      | \$0.002 per 1K tokens  | \$0.008 per 1K tokens  |
    | `o3-mini` | \$0.0011 per 1K tokens | \$0.0044 per 1K tokens |
    | `o4-mini` | \$0.0011 per 1K tokens | \$0.0044 per 1K tokens |

    ## Specialized Models

    | Model                        | Input Price            | Output Price          |
    | ---------------------------- | ---------------------- | --------------------- |
    | `codex-mini-latest`          | \$0.0015 per 1K tokens | \$0.006 per 1K tokens |
    | `gpt-4o-mini-search-preview` | gpt-4o-mini pricing    | + web search fees     |
    | `gpt-4o-search-preview`      | gpt-4o pricing         | + web search fees     |
  </Tab>

  <Tab title="Anthropic" icon="message">
    ## Claude 4 Series

    | Model               | Input Price           | Output Price          |
    | ------------------- | --------------------- | --------------------- |
    | `claude-opus-4-0`   | \$0.015 per 1K tokens | \$0.075 per 1K tokens |
    | `claude-opus-4-1`   | \$0.015 per 1K tokens | \$0.075 per 1K tokens |
    | `claude-sonnet-4-0` | \$0.003 per 1K tokens | \$0.015 per 1K tokens |
    | `claude-sonnet-4-5` | \$0.003 per 1K tokens | \$0.015 per 1K tokens |
    | `claude-haiku-4-5`  | \$0.001 per 1K tokens | \$0.005 per 1K tokens |
  </Tab>

  <Tab title="Google Gemini" icon="sparkles">
    ## Gemini 2.5 Series

    | Model                   | Input Price             | Output Price           |
    | ----------------------- | ----------------------- | ---------------------- |
    | `gemini-2.5-flash`      | \$0.0003 per 1K tokens  | \$0.0025 per 1K tokens |
    | `gemini-2.5-flash-lite` | \$0.0001 per 1K tokens  | \$0.0004 per 1K tokens |
    | `gemini-2.5-pro`        | \$0.00125 per 1K tokens | \$0.01 per 1K tokens   |

    ## Gemini 2.0 Series

    | Model                   | Input Price             | Output Price           |
    | ----------------------- | ----------------------- | ---------------------- |
    | `gemini-2.0-flash`      | \$0.0001 per 1K tokens  | \$0.0004 per 1K tokens |
    | `gemini-2.0-flash-lite` | \$0.00007 per 1K tokens | \$0.0003 per 1K tokens |
  </Tab>
</Tabs>

## Understanding Pricing

<AccordionGroup>
  <Accordion title="Why Input and Output Pricing Differs" icon="dollar-sign">
    Input and output pricing differs because generation requires more computation than processing. The model must read and understand input tokens relatively quickly, but generating output tokens requires iterative computation and reasoning. Applications with long outputs benefit from models with lower output costs, while applications processing large inputs should consider input pricing carefully.
  </Accordion>

  <Accordion title="Choosing Cost-Effective Models" icon="chart-line">
    Select models based on your specific use case:

    * **High-volume, simple tasks**: Use the most cost-effective models like `gpt-4o-mini`, `claude-haiku-4-5`, or `gemini-2.5-flash-lite`
    * **Complex reasoning**: Consider `claude-sonnet-4-5`, `gpt-4o`, or O-series models for tasks requiring careful analysis
    * **Long outputs**: Prioritize models with lower output token costs like Gemini Flash models
    * **Large context inputs**: Look at input pricing—Gemini models often offer the best value for processing large documents
  </Accordion>

  <Accordion title="Monitoring Costs in Production" icon="eye">
    The gateway automatically tracks token usage and costs for every request. Use the ABV dashboard to:

    * Monitor real-time spending across providers and models
    * Identify expensive requests or usage patterns
    * Compare costs between different providers for the same task
    * Set up alerts when spending exceeds thresholds

    This visibility helps you optimize costs while maintaining the quality your application needs.
  </Accordion>
</AccordionGroup>

## Next Steps

Ready to start using these models? Here's where to go next:

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/developer/llm-gateway/quickstart">
    Get up and running with your first gateway request in 5 minutes
  </Card>

  <Card title="TypeScript Guide" icon="js" href="/developer/llm-gateway/typescript-guide">
    Learn how to use these models in TypeScript/JavaScript applications
  </Card>

  <Card title="Python Guide" icon="python" href="/developer/llm-gateway/python-guide">
    Learn how to use these models in Python applications
  </Card>

  <Card title="LLM Gateway Overview" icon="book" href="/developer/llm-gateway/overview">
    Understand the core concepts and architecture of the gateway
  </Card>
</CardGroup>