Model Support by FeatureΒΆ
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 is not presented 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.
Models | Design-Time Features1 | AI Agent Node | AI Enhanced Outputs | GPT Conversation Node | LLM Prompt Node | Answer Extraction | Knowledge Search | Sentiment Analysis | NLU Embedding Model |
---|---|---|---|---|---|---|---|---|---|
gpt-4.1-nano |
|||||||||
gpt-4.1-mini |
|||||||||
gpt-4.1 |
|||||||||
gpt-4o-mini |
|||||||||
gpt-4o |
|||||||||
text-embedding-ada-002 |
|||||||||
text-embedding-3-small 2 |
|||||||||
text-embedding-3-large 2 |
|||||||||
gpt-4 (Legacy) |
|||||||||
gpt-3.5-turbo-instruct (Legacy) |
gpt-3.5-turbo (ChatGPT) (Legacy) |
||||||||
gpt-4.1-nano |
|||||||||
gpt-4.1-mini |
|||||||||
gpt-4.1 |
|||||||||
gpt-4o-mini |
|||||||||
gpt-4o |
|||||||||
text-embedding-ada-002 |
|||||||||
text-embedding-3-small 2 |
|||||||||
text-embedding-3-large 2 |
|||||||||
gpt-4 (Legacy) |
|||||||||
gpt-3.5-turbo-instruct (Legacy) |
|||||||||
gpt-3.5-turbo (ChatGPT) (Legacy) |
|||||||||
OpenAI-compatible LLMs | |||||||||
claude-3-7-sonnet-latest 3 |
|||||||||
claude-3-5-sonnet-latest 3 |
|||||||||
claude-3-sonnet |
|||||||||
claude-3-haiku |
|||||||||
claude-3-opus |
|||||||||
claude-v1-100k (Legacy) |
|||||||||
anthropic.claude-3-5-sonnet-20240620-v1:0 |
|||||||||
claude-instant-v1 (Legacy) |
|||||||||
gemini-1.0-pro (Legacy) |
|||||||||
gemini-2.0-flash-lite |
|||||||||
gemini-2.0-flash |
|||||||||
gemini-1.5-flash |
|||||||||
gemini-1.5-pro |
|||||||||
gemini-1.0-pro (Legacy) |
|||||||||
luminous |
|||||||||
luminous-embedding-128 4 |
|||||||||
amazon.titan-embed-text-v2:0 5 |
|||||||||
amazon.nova-lite-v1:0 |
|||||||||
amazon.nova-pro-v1:0 |
|||||||||
Converse API-compatible models | Partially supported6 | ||||||||
mistral-large-latest 3 |
|||||||||
mistral-medium-latest 3 |
|||||||||
mistral-small-latest 3 |
|||||||||
pixtral-large-latest 3 |
|||||||||
pixtral-12b-2409 |
|||||||||
Platform-Provided LLM |
1 Design-time features include Intent Sentence Generation, Flow Generation, Adaptive Card Generation, Lexicon Generation.
2 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?.
3 The *-latest
suffix indicates that the model you select in Cognigy.AI points to the the latest version of the model. For more information, read Anthropic's or Mistral AI's models documentation.
4 This feature is currently in Beta, hidden behind the FEATURE_ENABLE_ALEPH_ALPHA_EMBEDDING_LLM_WHITELIST
feature flag, and may contain issues. Only one type of embedding LLM should be used per Project. If you choose to use luminous-embedding-128
, you must create a new Project. Once you have chosen an embedding model for a Project, you cannot switch to a different embedding model; you must use a different Project. Failing to do so will result in errors while this feature is in Beta.
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.