Licensing and pricing for BMC HelixGPT
Licensing for BMC HelixGPT GenAI insights for BMC Helix IT Operations Management
Example use cases: Situation summarization Best Action Recommendations, Log Insights, and Ask HelixGPT use cases
BMC HelixGPT is not licensed as a separate SKU and will be part of the existing suite SKUs.
BMC HelixGPT for BMC Helix IT Operations Management use cases are available in Bring Your Own GenAI services Model as part of BMC Helix IT Operations Management (Advanced Suite).
Customers on the following SKUs are entitled to use BMC HelixGPT capabilities:
- BMC Helix Operations Management - AIOps Add-on for Devices
- BMC Helix Operations Management - AIOps Add-on for Serverless Assets (250-Pack)
Licensing for BMC HelixGPT GenAI insights for BMC Helix IT Service Management
Example: Summarization, knowledge article search, search, and Virtual Agent use cases
BMC HelixGPT is not licensed as a separate SKU and will be part of the existing applications or suite SKUs.
BMC HelixGPT for BMC Helix Service Management use cases are available in the Bring Your Own GenAI services Model.
Customers on the following SKUs are entitled to use BMC HelixGPT capabilities:
- BMC Helix Service Management Standard
- BMC Helix Service Management Advanced
- BMC Helix ITSM SaaS (Employee Navigator only)
The following standalone SKUs are not entitled to use BMC HelixGPT capabilities:
- BMC Helix ITSM on premises
- BMC Helix Digital Workplace Basic or Advanced
Pricing calculation for Google Cloud Platform Vertex AI
Learn about the additional costs for Google Cloud Platform Vertex in Vertex AI pricing. For more information about pricing for BMC HelixGPT for BMC Helix AIOps, contact your BMC Support.
The following table lists some recommendations that will help you calculate the pricing for Google Cloud Platform Vertex AI.
Recommendation | Example |
|---|---|
For every Situation summarization, an average of 500 tokens are required. | If you have 50 situations in a day, the number of tokens required will be 50 x 500 x 30 days = 750000 tokens. The cost will be $8 per month. |
For every Situation code generation, an average of 430 tokens are required. | If you have 50 situations in a day and consider just one code generation, the number of tokens required will be 50 x 430 x 30 days = 645000 tokens. The cost will be $6.8 per month. |
For every Situation BAR, an average of 1000 tokens are required. | If you have 50 situations in a day, the number of tokens required will be 50 x 1000 x 30 days = 1500000 tokens. The cost will be $16 per month. |
For every Situation AskHelixGPT, an average of 500 tokens are required. | If you have 50 situations in a day, the number of tokens required will be 50 x 500 x 30 days = 750000 tokens. The cost will be $8 per month. |
For every Situation log Insights, an average of 2000 tokens are required. | If you have 50 situations in a day, the number of tokens required will be 50 x 2000 x 30 days = 300000 tokens. The cost will be $32 per month. |
Pricing calculation for Azure OpenAI
Additional costs that BMC does not cover, include the costs associated with using Azure OpenAI. These costs are related to the number of tokens that are used when you use open-source models such as GPT-4 Turbo with Vision or GPT-4o (Omni). You can estimate the tokens that you will require on the current incident volumes and expected queries. BMC recommends that you use a 3:1 ratio for input/output tokens.
Learn more about the additional costs in Azure OpenAI Service pricing.
Examples
The following example shows how tokens are measured in Azure OpenAI:
BMC HelixGPT invokes Azure OpenAI GPT-4o API by using your environment credentials. An initial message with the “Prompt + Context” is displayed, such as “Help the user summarize + this knowledge article text” and then a response is added: “Summarized answer”.
The prompts and responses are measured in tokens and BMC expects about 5,000 tokens per round-trip message based on our testing. This number is subject to change based on your edits to the prompts, such as how detailed the prompts and long answers are.
According to this estimate, one round-trip chat message uses 5,000 tokens. Daily 50 chats with 6 messages each will use the following tokens every month (30 days):
50 x 6 x 5000 x 30 = 45 million tokens
According to the Azure pricing calculator, the cost amounts to around $325/month.
The following images show the pricing calculation for the models:
The pricing for GPT-4o would be $325 at the given volume:
The pricing for GPT-4Turbo would be $650 at the given volume:
Pricing calculation for Oracle Llama 3.1
Oracle Generative AI pricing details are available at Oracle Generative AI Service pricing.
BMC Software support for the Llama 3.1 70 billion model, which, while not explicitly mentioned in the pricing tables. However, it is included in the calculator available at the bottom of the page. The following screenshot shows the sample calculation for 45 million tokens:
(Controlled availability customers only) Pricing calculation for the Gemini model
This example illustrates the cost calculation for using the Google Gemini model with BMC HelixGPT, which charges separately for input and output tokens. The example demonstrates how token usage impacts the total cost per interaction, providing a clear view of expected expenses based on typical usage.
Example:
Input tokens cost | $3.50 per million tokens |
Output tokens cost | $10.50 per million tokens |
Consider a usage volume of 45 million (45,000,000) tokens where the input tokens are 35 million (35,000,000) and output tokens are 10 million (10,000,000).
Google Vertex AI — Gemini 1.5 Pro costs $228 / month.
For more information about pricing, see Pricing model for Gemini.