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

# OpenAI LLM models

> Learn more about OpenAI LLM models

OpenAI's LLM models are known for advanced conversational abilities, creative writing, and broad general knowledge.

<AccordionGroup>
  <Accordion title="What are they good for?">
    Versatile agents, customer support, brainstorming.
  </Accordion>

  <Accordion title="How much do they cost?">
    Credits charged per 1,000 tokens used for prompts + replies if you do not connect your own OpenAI API key / account.
  </Accordion>

  <Accordion title="What native files can they process?">
    OpenAI models can process each of the following files:

    * .pdf
    * .jpg
    * .jpeg
    * .png
    * .webp
    * .gif
  </Accordion>
</AccordionGroup>

## Understanding pricing & implicit caching

OpenAI models automatically cache repeated input tokens (like agent instructions and tool definitions) in multi-turn conversations, charging them at **90% less** than uncached tokens. This happens automatically with no code changes required.

### Pricing example: GPT-4o

| Token Type                | Cost per 1,000 tokens |
| ------------------------- | --------------------- |
| **Uncached input tokens** | 0.63 credits          |
| **Cached input tokens**   | 0.063 credits         |
| **Output tokens**         | 5 credits             |

**Example:** An agent with 19,000 tokens of instructions makes two calls:

* **First call:** 19,000 input (uncached) + 2,000 output = 21.97 credits
* **Second call:** 6,000 input (uncached) + 13,000 input (cached) + 1,500 output = 12.10 credits
* **Without caching**, the second call would cost 19.47 credits
* **Savings: 38% reduction** on the second call

### Why UI numbers may look different

<Callout icon="info-circle">
  The task credit breakdown displays **uncached input tokens only**. Cached tokens are charged separately at the lower rate but not shown in the breakdown. The **total cost is accurate** and includes both.
</Callout>

If you see "6,000 input tokens" in the UI, there may be additional cached tokens charged at 90% less. Your actual costs are **lower than expected** because of automatic caching.

<Tip>
  **No markup policy:** Relevance AI passes through OpenAI's exact pricing, including all caching discounts. We do not add any markup to Vendor Credits.
</Tip>

For technical details about OpenAI's prompt caching implementation, see [OpenAI's Prompt Caching Documentation](https://platform.openai.com/docs/guides/prompt-caching).

<Note>
  If you connect your own OpenAI API key, you'll see the same caching behavior and cost savings directly in your OpenAI billing.
</Note>