# Best LLM Fine-Tuning Companies

> An independent scorecard of eight LLM fine-tuning vendors (Together AI, Google Vertex AI, Fireworks AI, AWS Bedrock, Azure OpenAI, Anyscale, Prime Intellect, OpenPipe), scored on five criteria using only each vendor's own published pricing and documentation pages, last read 7 November 2026. Nothing is tested or benchmarked. OpenAI is listed but not scored because its fine-tuning platform is closed to new users. Teams can send a short project brief and receive named vendors that fit; the site is an introduction service and may be paid by a vendor if work follows.

## Comparison

- [Fine-tuning vendor scorecard](https://bestllmfinetuningcompanies.com/scorecard/): the eight vendors on pricing, model choice, evaluation, data handling and deployment, with the evidence for every score.
- [Vendor notes](https://bestllmfinetuningcompanies.com/vendor-notes/): what each vendor publishes, with prices, methods and source links.
- [How we score](https://bestllmfinetuningcompanies.com/how-we-score/): the criteria, what fills a square, and a dated changelog of vendor terms.
- [Homepage](https://bestllmfinetuningcompanies.com/): the summary verdict, the scorecard and a table of published training prices with units.

## For buyers

- [Request a shortlist](https://bestllmfinetuningcompanies.com/request-a-shortlist/): what a brief is checked against, and the request form.
- [How this works](https://bestllmfinetuningcompanies.com/our-role/): what happens after a request, what the site never does with data, and how it is paid.

## Blog

- [Fine-tuning consultancy or provider tools: when to hire help](https://bestllmfinetuningcompanies.com/analysis/fine-tuning-consultancy-or-provider-tools/): When a fine-tuning consultancy is worth paying for and when provider tools are enough, judged on data, evaluation, skills and where the model runs.
- [Questions to ask a fine-tuning vendor before you sign](https://bestllmfinetuningcompanies.com/analysis/questions-to-ask-a-fine-tuning-vendor/): Questions to ask a fine-tuning vendor before you sign: price units, base models, evaluation, data retention, weights and hosting, with what to expect.
- [What a fine-tuning statement of work should include](https://bestllmfinetuningcompanies.com/analysis/what-a-fine-tuning-statement-of-work-should-include/): What a fine-tuning statement of work should include: scope, data duties, acceptance tests, weight ownership, data deletion, hosting and change control.

## Policies

- [Privacy notice](https://bestllmfinetuningcompanies.com/privacy/)
- [Do not sell or share](https://bestllmfinetuningcompanies.com/do-not-sell/)