Pricing Plan


Datasaur recognize that every user has unique requirements. Some may need LLM capabilities occasionally for specific projects, while others may require consistent access for ongoing tasks. Our pricing models reflect this diversity, providing flexibility and cost-effectiveness.

Free Trial: Explore Without Commitment

To empower potential users to explore the capabilities of our platform, we offer a Free Trial. This allows you to experiment with LLM Labs, assess its efficiency and performance for your specific use cases, and make an informed decision before committing to a paid plan.

Free Trial Limitations:

  • Quota-based access: During the Free Trial, you will receive a quota of:

    • 100 Prompts for Inferencing (using the LLM to generate text)

    • 100 MB for Embedding (representing text data for LLM processing)

    • Evaluation, when involves inferencing (generating answer, automatic evaluation, etc)

  • Limited functionality: Once the quota is exhausted, you will not be able to perform Inferencing, Embedding, or create new LLM evaluation projects until upgrading to a paid plan.

Pay As You Go: Use What You Need, Pay As You Go

In the Pay As You Go model, you only pay for the resources you utilize, making it a cost-effective option for infrequent or occasional usage. This model is perfect for:

  • Individual users: Experimenting with LLM capabilities for personal projects or learning purposes.

  • Startups and small businesses: Testing the value of LLMs for specific tasks before committing to a larger investment.

  • Occasional users: Requiring LLM services for infrequent or unpredictable needs.

Pay As You Go Model Details:

After the Free Trial quota is reached, Pay As You Go becomes the default model.

  • Charged usage: You will be charged based on your actual usage of LLM Labs in these areas:

    • Run prompt in LLM Labs applications

    • Update embeddings in the Vector Store

    • Generate completions for Evaluation projects

  • Payment method: To facilitate your Pay As You Go usage, kindly provide your payment credentials securely upfront through our integrated Stripe platform. This allows for convenient monthly billing based solely on your actual resource utilization within LLM Labs.

  • Full feature access: You will have access to all features within LLM Labs during the Pay As You Go model.

  • Limitation: You cannot connect your own LLM credentials (e.g., OpenAI Keys, AWS ARN).

Subscription: Predictable Cost, Consistent Access

The Subscription model offers a predictable cost structure and guaranteed access to LLM Labs features for a fixed monthly or annual fee. This model is ideal for users who:

  • Require consistent LLM access: Utilize LLMs regularly for ongoing tasks or projects.

  • Benefit from predictable costs: Prefer a fixed monthly or annual fee for budgeting purposes.

  • Value guaranteed access: Want to ensure uninterrupted access to LLM Labs features.

Subscription Details:

  • Enrollment: You need to contact our sales team at to use the Subscription plan.

  • Access: All features of LLM Labs are available, including the ability to connect and manage personal LLM credentials.

  • LLM Credentials: Users can provide and utilize their own LLM credentials.

  • Subscription Fee: $500/month.

  • Pay As You Go Integration: You can leverage the Pay As You Go model on top of their subscription for additional usage needs.

Choosing the Right Model

The best pricing model for you depends on your specific needs and usage patterns. Consider the following factors:

  1. Frequency of use: How often will you need to use LLM Labs?

  2. Predictability of usage: Can you anticipate your LLM usage needs in advance?

  3. Budget constraints: Do you have a fixed budget for LLM services?

Datasaur is committed to providing a user-friendly and cost-effective platform for all. We encourage you to explore the Free Trial and experiment with our Pay As You Go and Subscription models to determine the best fit for your requirements.

If you have any questions, please don't hesitate to contact our support team at

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