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

# Cost structure

> Understanding Fireworks.ai pricing and fees for various services.

## Platform costs

**Q: How much does Fireworks cost?**

Fireworks AI uses a **usage-based pre-paid** billing system. You purchase credits, then usage is deducted based on:

* **Per token** for serverless inference
* **Per GPU usage time** for on-demand deployments
* **Per token of training data** for fine-tuning

Contracted customers may have the option to move to post-paid billing. [Contact our sales team](https://fireworks.ai/company/contact-us) to discuss your options.

For customers needing **enterprise-grade security and reliability**, please reach out to us at [inquiries@fireworks.ai](mailto:inquiries@fireworks.ai) to discuss options.

Find out more about our current pricing on our [Pricing page](https://fireworks.ai/pricing).

***

## Fine-tuning fees

**Q: Are there extra fees for serving fine-tuned models?**

Fine-tuned (LoRA) models require a dedicated deployment. Here's what you need to know:

**What you pay for**:

* **Deployment costs** on a per-GPU-second basis for hosting the model
* **Usage costs** on a per-token basis when the model is used for inference
* The **fine-tuning process** itself, if applicable

**Deployment options**:

* **Live-merge deployment**: Deploy your LoRA model with weights merged into the base model for optimal performance
* **Multi-LoRA deployment**: Deploy up to 100 LoRA models as addons on a single base model deployment

For more details, see the [Deploying Fine Tuned Models guide](/fine-tuning/deploying-loras).

***

## Additional resources

* **Discord Community**: [discord.gg/fireworks-ai](https://discord.gg/fireworks-ai)
* **Email Support**: [inquiries@fireworks.ai](mailto:inquiries@fireworks.ai)
* **Documentation**: [Fireworks.ai docs](https://fireworks.ai/docs)