Platform pricing
Best-in-class tools for model customization
Serverless Inference Pricing
Pay-as-you-go service with powerful speed and reliability
| Model name | Inference pricing (input/output) | Fine-tuning pricing |
|---|---|---|
| llama-v3-8b-instruct | $0.30 / 1M | $2.00 / 1M |
| llama-v3-70b-instruct | $1.10 / 1M | $6.00 / 1M |
| llama-v3.1-8b-instruct | $0.30 / 1M | $2.00 / 1M |
| llama-v3.1-70b-instruct | $1.10 / 1M | $6.00 / 1M |
| llama-v3.2-1b-instruct | $0.12 / 1M | $2.00 / 1M |
| llama-v3.2-3b-instruct | $0.12 / 1M | $2.00 / 1M |
| mixtral-8x7b-instruct | $0.80 / 1M | $4.00 / 1M |
| mixtral-8x22b-instruct | $0.80 / 1M | $4.00 / 1M |
Frequently Asked Questions
Everything you need to know about our platform
What is FinetuneDB?
FinetuneDB is an AI fine-tuning platform to create custom LLMs. It enables teams to easily build high-quality datasets and streamlines the entire workflow from fine-tuning to deployment and ongoing evaluation, all from one secure platform.
What is fine-tuning?
Fine-tuning customizes an AI model by training it on data that matches a specific use case, enhancing its performance and accuracy. This process reduces errors and improves reliability, creating models that better understand your domain. Fine-tuned models go beyond generic, prompt-based solutions, making them highly effective for tasks like creating content in a publisher's unique style and tone of voice.
See our use cases for more examples.
How does the free plan work?
Our free plan offers individuals essential tools to get started with fine-tuning. It includes access for one user, one project and dataset, up to 1,000 logs per month, and $10 in free credits for open-source inference. This plan allows you to explore FinetuneDB's capabilities and begin developing custom AI models.
What counts as a log?
A log is a recording of an LLM's input and output, capturing each interaction. It includes additional metadata such as user feedback, corrections, evaluation results, and model details, providing valuable insights for continuously improving model outputs.
How long does it take to create a custom AI model?
If you have an existing dataset, you can simply upload it and start fine-tuning directly. Setting up our SDK to track production data takes only a few minutes. From there, you can immediately begin building and refining your dataset, with access to tools that help you manage data and improve model performance. With these resources, you'll be ready to fine-tune and deploy models within a couple of hours. Our documentation provides step-by-step guides to help you every step of the way.
Is my data secure?
Yes, your data is encrypted in transit and at rest, remains private to your account, and is never shared with third parties or used to train any models. All data is stored on servers located in Europe, and our platform undergoes regular security assessments. We also offer dedicated cloud options for enterprise users with additional security requirements.
Can I export my data?
Yes, you can export all your data at any time directly from the platform.
Do I pay for OpenAI, Anthropic, etc., separately?
Yes, FinetuneDB requires you to bring your own API key from your AI provider. You manage and pay for usage with these providers separately, offering flexibility with your terms and direct access to any fine-tuned models outside of FinetuneDB.
What data formats are supported?
FinetuneDB supports JSONL format according to OpenAI specifications. For more information on uploading datasets, see our dataset upload guide.
Can I use my own model or other providers?
Yes, our APIs and SDKs allow integration with models from various providers, including self-hosted models via vLLM. See our documentation for more details on supported integrations.
How can I get support?
We provide support through Intercom, Discord, and email. Our team is available to assist with any questions or guidance you may need. You can also get in touch with us directly, and we're happy to arrange check-in calls to ensure you're getting the most out of FinetuneDB.