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Updated in 2026.13 The table provides an overview of the LLM providers supported by Cognigy.AI, detailing the standard models and their compatibility with Cognigy.AI features. You can also add a custom model that isn’t listed in the table. To do so, select the Custom Model parameter when creating a model and specify both the model type and name. For more information about adding a custom or standard model for a selected LLM provider, refer to the All LLM Providers page.

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1 Design-time features include Intent Sentence Generation, Flow Generation, Adaptive Card Generation, Lexicon Generation.
2 Reasoning models consume more tokens and may incur higher costs. The models are optimized for tasks that require complex problem-solving and logical reasoning. Before using these models in production, test token consumption in debug mode and use them with caution. To reduce costs, consider using a non-reasoning model such as gpt-5-chat-latest. For more information about reasoning models, refer to the Microsoft Azure OpenAI, OpenAI, and Google documentation.
Anthropic’s claude-sonnet-4-6 model doesn’t support assistant message prefilling. To keep your Flows compatible, ensure that the last transcript step before the LLM call is a user message. For example, add an Add Transcript Step Node before the LLM call and set the role to user.
3 For Knowledge AI, we recommend using text-embedding-ada-002. However, if you want to use text-embedding-3-small and text-embedding-3-large, make sure that you familiarize yourself with the restrictions of these models in Which Model to Choose?.
4 The *-latest suffix indicates that the model you select in Cognigy.AI points to the latest version of the model. For more information, read Anthropic’s or Mistral AI’s models documentation.
5 For Cognigy.AI 2025.10 and earlier versions, the option to select this model is hidden behind the FEATURE_ENABLE_AWS_BEDROCK_EMBEDDING_LLM_WHITELIST feature flag.
6 Note that some models from the Converse API might not support the AI Agent Node feature.
7 This model supports only the Responses API. When you select this model, the Responses API is selected by default, and the API Type field is locked. 8 The Conversation Analyzer uses the selected model to analyze session transcripts in Cognigy Insights. If no model is explicitly selected in Manage > Settings > Generative AI Settings, the Project’s default LLM is used. Any chat model that supports the AI Agent Node also supports the Conversation Analyzer.
Last modified on July 10, 2026