Start with a free trial, no credit card required, then pay based on usage.

Starter Plan

Access all features through usage-based pricing, with a minimum subscription fee of $29 per month.

  • Usage-based pricing

  • Foundation model APIs & SDK

  • Custom model training

  • Task-specific APIs

  • Unlimited seats

Free Trial

  • $90 credits for 3 months

  • No credit card needed

Start Now For FREE

Custom Plan

For developers who are looking to scale, require custom implementation or dedicated support.

  • Everything in the Starter Plan

  • Volume discounts

  • Premium API rate limits

  • Private cloud hosting

  • Priority support

  • Dedicated account manager

  • Expert AI consultancy

Usage Pricing

Foundation Models

Jurassic foundation models are trained on a massive corpus of text, making them a powerful basis for a wide range of natural language processing applications, capable of understanding and composing human-like text. Developers can train custom models so that are optimized for specific applications by fine-tuning Jurassic models at a low cost.

  • The only LLM that won’t triple your costs for using your own fine-tuned models

  • Best-in-class quality ranked by Stanford’s HELM index

  • Train custom models for any task with exceptional flexibility

Save 25% on expected usage costs with our base Jumbo model, and 88% with our fine-tuned Jumbo model.


Highest quality


/1k tokens


Train a custom model


/MB /epoch


Quality & speed


/1k tokens


Train a custom model


/MB /epoch




/1k tokens


Train a custom model


/MB /epoch

What is a Token?

Tokens are used in language models to break down text into small pieces. With AI21 Studio's models, an average token corresponds to 1 word or 6 characters of English text. Comparatively, this is up to 30% more text per token than other providers, saving you 30% of the cost.

Are you ready to scale?

Let our sales team assist you in tailoring a plan that fits your needs.

Contact Sales

Looking To Scale?

Let our sales team assist you in tailoring a plan that fits your needs.

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Frequently Asked Questions

Can I still use Jurassic-1 models?

Jurassic-1 models remain available until June 1st, 2023, after which they will be deprecated in favor of Jurassic-2.

What is the difference between training and usage rates for fine-tuned models?

Custom models cost the same to use as pre-trained foundation models. However, training a custom model requires a one-time fee. The cost is dependent on the selected model, and is calculated by the size of the dataset, measured in megabytes, multiplied by training duration, measured in epochs (each epoch is one complete run of the entire training dataset).

What is an epoch, and how many epochs are required to train a custom model?

When training a custom model, an epoch is defined as one pass of the entire training dataset. Typically, models are trained for 5-20 epochs, though finding the optimum number of epochs may require experimentation.

How can I track my usage and spending?

To track usage, log in and navigate to 'Account,' then click 'Model Usage'. This page shows a detailed view of your organization's usage for the current billing period. To see your future expected payment and previously paid invoices, navigate to 'Account', and then click 'Billing & Plans'.

When does the billing cycle begin?

Usage is billed monthly, starting on the date you upgraded to a paid plan. Each month, the billing cycle is the same. On the day you upgrade, your usage for the month will be billed, and then the next month's billing cycle will start on the same date. This will continue on a monthly basis until you switch plans or cancel your subscription.

Who is eligible for the volume discount?

Volume discounts are available to customers with high monthly usage, regardless of whether they are developers, startups, enterprises, or research teams. This type of discount offers a reduced rate for increased usage, when subscribing to a custom plan. Our sales team will be happy to tailor an offer to meet your requirements and volume of business.