Not sure which plan to start with? You can always upgrade from ‘Starter’ later, or try a risk-free month trial of our Premium plans to see if it’s the right fit.
Free to get started,
plus usage costs
3 app project max
Access to base models
(GPT 3.5, Claude Instant, Claude 2.1, Mistral 7B Instruct, Llama-2 13B)
Limited RAG functionality
(3 documents, 20k words)
Private apps only
$5 free credit
Per Month,
plus usage costs
Unlimited apps
Leverage all AI models
(Latest from OpenAI, Google, Meta, Anthropic, Mistral, and more)
Access to all AI services
(Text Generation, Image Generation, Image Analysis, Text to Speech)
Full RAG functionality
Enable public access
Per User/Month,
plus usage costs
Everything in Individual
Multiple users in workspace
Embed apps anywhere
API access
Global logging
Deficit billing
Contact us for
pricing information
Everything in Teams
On-Premise and Private Cloud
(Use private AI models & run MindStudio self-hosted, on your own infrastructure)
SLA
SSO / SCIM
Compliance
Auditing
Free to get started,
plus usage costs
3 app project max
Access to base models
(GPT 3.5, Claude Instant, Claude 2.1, Mistral 7B Instruct, Llama-2 13B)
Limited RAG functionality
(3 documents, 20k words)
Private apps only
$5 free credit
Per Month,
plus usage costs
Unlimited apps
Leverage all AI models
(Latest from OpenAI, Google, Meta, Anthropic, Mistral, and more)
Access to all AI services
(Text Generation, Image Generation, Image Analysis, Text to Speech)
Full RAG functionality
Enable public access
Per User/Month,
plus usage costs
Everything in Individual
Multiple users in workspace
Embed apps anywhere
API access
Global logging
Deficit billing
Contact us for
pricing information
Everything in Teams
On-Premise and Private Cloud
(Use private AI models & run MindStudio self-hosted, on your own infrastructure)
SLA
SSO / SCIM
Compliance
Auditing
Apps incur additional charges based on the model used, each with different capabilities and price points. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words.
Yes, we offer a Starter tier at $0/month that provides a $5 usage credit, allowing you to explore and try out our starter AI models and services without any initial cost.
All payments are securely processed via Stripe, a leading online payment processing platform. Currently, we support all major credit and debit cards. For a detailed list of accepted payment methods, such as Visa, MasterCard, American Express, and others, please visit the Stripe website.
Please note that the available payment options may vary based on your location. If you have specific payment needs or questions, please contact our customer support team for assistance.
Yes, you can change your workspace pricing plan at any time directly from your workspace settings. If you upgrade your plan, changes will take effect immediately, and you'll be charged the prorated difference. If you downgrade, changes will be effective from the next billing cycle.
Usage credits are prepaid amounts that are consumed based on your use of MindStudio's services and features. They are deducted based on the specific tasks performed, like data vectorization, API calls, or using advanced AI features. Each service deducts a different amount of credits.
A: Reasonably accurate for very simple functions like calling an external APIs, but it'll take more than one interaction and very comprehensive docs for something more complex. Keep in mind we use MindStudio trainer internally all the time, and Giorgio developed the scraper functions for MindStudio with it. It's definitely better than starting from zero in something like a generic Claude chat.
If you run out of credits, any AIs that rely on usage metering will be temporarily suspended until additional credits are purchased or your monthly credits are replenished. You will receive an email notification if you're approaching your limit.
For the Starter and Individual plans, usage credits will be prepaid. For workspaces on the Teams plan, there will be a $100 usage limit and your bill will be received at the end of each billing cycle, detailing the usage and charges for that period. The bill will be sent to the billing email associated with your MindStudio workspace. You can also access your billing history and download invoices from your account dashboard.
For terms and conditions related to pricing, please refer to our terms of use.
Each interaction with our AI model involves two main parts that determine the cost: the "prompt" and the "response."
Prompt tokens include everything you send to the AI: your main question or command, any additional instructions, and all the data the AI uses to generate a response, like examples or results of database queries.
Response tokens are what the AI sends back to you, whether it's a direct reply to your question or data it's saving for later use.
A token represents roughly three-quarters of a word. So, for about every 1000 tokens, you're dealing with 750 words.
Example Calculation:
Imagine you send the AI a request that includes a basic prompt (500 tokens), a reference article (2000 tokens), and a content outline (500 tokens). Then, the AI produces an article that's 1000 words long.
Input cost: You'll add up the tokens for the prompt, the article, and the outline. That's 500 + 2000 + 500, totaling 3000 tokens.
Output cost: The article is 1000 words, roughly equivalent to 1250 tokens.
Assuming you're using GPT-3.5, our default model, this interaction will cost:
Input cost ≈ $0.0039
Output cost ≈ $0.0033
Total cost ≈ $0.0072
In the debugger, each "Generate Text" block displays the number of tokens in input and output. You can test out the various inputs and outputs of different LLMs by using the Profiler in the MindStudio editor.
When generating images, usage is accrued on a per image basis. The cost per image generated will vary depending on the model you are using.
When generating speech from text, usage is accrued per character. The amount of tokens used when generating speech from text will vary depending on the model you are using.
Image inputs are metered and charged in tokens. The token cost of a given image can be determined by its size and level of detail.
Here is an example:
Open AI processes low-detail images at a cost of 85 tokens each. High-detailed images are first scaled to fit within a 2048 x 2048 square, maintaining their aspect ratio. Then, they are scaled such that the shortest side of the image is 768px long. Open AI will then count how many 512px squares the image consists of. Each 512px square costs 170 tokens and another 85 tokens are always added to the final total. See Open AI Vision pricing calculator for more details.
The response tokens for vision models are metered the same as text-based models. The amount of tokens used when analyzing images will vary depending on the model you are using.