Large language models used by Content Understanding

The Content Understanding application uses large language models (LLMs) to support generative AI and agentic AI capabilities.

Available LLMs

You can select the LLM when creating a use case. The LLM can also be selected for the AI agent to use when processing documents and images.

Multimodal LLMs support image mode by processing multiple types of inputs — such as text, sound, and images — to generate a text response. Processing may take longer for image inputs.

Note:

The Content insights AI agent requires a multimodal LLM. The text-only Now LLM Service is not supported for the AI agent.

AI-generated outputs may be inaccurate or incomplete. Review all AI-generated content before use.

The following table lists the available LLMs for Content Understanding.

Table 1. LLM options for Content Understanding

LLM	Highlights
Now LLM Service - Large	Text-only model that supports natural language understanding, automation, and decision support.
Now LLM Service - Small	Text-only model that enhances text-based automation and content generation in ServiceNow workflows.
Google Cloud - Gemini Large	Multimodal model with advanced reasoning and problem-solving capabilities.
Google Cloud - Gemini Small	Multimodal model with strong performance in summarization, rewriting, and content transformation.
Azure OpenAI - GPT Large	Multimodal model with strong performance on tasks involving analysis, summarization, and multi-step problem solving.
Azure OpenAI - GPT Small (default)	Multimodal model optimized for routine workflows, including summarization, paraphrasing, and question and answer tasks.
Amazon Bedrock - Claude Large	Multimodal model with strong context management for long documents and dialogs.
Amazon Bedrock - Claude Small	Multimodal model with lower latency and higher efficiency for real-time applications.

For more information, see Large language models on the ServiceNow AI Platform.