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Updated in 2026.3 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.
Models
Design-Time Features1AI Agent NodeAI Enhanced OutputsLLM Prompt NodeAnswer ExtractionKnowledge SearchSentiment AnalysisNLU Embedding Model
cognigy-ai-logo Cognigy.AI
Platform-Provided LLMcheck-markx-markx-markx-markx-markx-markx-markx-mark
azure Microsoft Azure OpenAI
gpt-52
gpt-5-nano2
gpt-5-mini2
gpt-5-chat-latest
gpt-4.1-nano
gpt-4.1-mini
gpt-4.1
gpt-4o-mini
gpt-4o		check-markcheck-markcheck-markcheck-markcheck-markx-markcheck-markx-mark
text-embedding-ada-002
text-embedding-3-small3
text-embedding-3-large3		x-markx-markx-markx-markx-markcheck-markx-markx-mark
open-ai OpenAI
gpt-52
gpt-5-nano2
gpt-5-mini2
gpt-5-chat-latest
gpt-4.1-nano
gpt-4.1-mini
gpt-4.1
gpt-4o-mini
gpt-4o		check-markcheck-markcheck-markcheck-markcheck-markx-markcheck-markx-mark
text-embedding-ada-002
text-embedding-3-small3
text-embedding-3-large3		x-markx-markx-markx-markx-markcheck-markx-markx-mark
openai-compatibleOpenAI-Compatible
OpenAI-compatible LLMsx-markcheck-markx-markcheck-markcheck-markcheck-markx-markx-mark
anthropic Anthropic
claude-opus-4-0, claude-sonnet-4-0check-markcheck-markcheck-markcheck-markcheck-markx-markcheck-markx-mark
claude-3-haiku, claude-3-7-sonnet-latest3x-markcheck-markx-markcheck-markcheck-markx-markx-markx-mark
google-gemini Google Gemini
gemini-2.5-pro2
gemini-2.5-flash2
gemini-2.5-flash-lite2
gemini-2.0-flash
gemini-2.0-flash-lite		x-markcheck-markx-markcheck-markcheck-markx-markx-markx-mark
gemini-embedding-001x-markx-markx-markx-markx-markcheck-markx-markx-mark
alephalpha Aleph Alpha
luminousx-markx-markx-markx-markcheck-markx-markx-markx-mark
luminous-embedding-1285x-markx-markx-markx-markx-markcheck-markx-markx-mark
amazon-bedrock Amazon Bedrock
anthropic.claude-3-5-sonnet-20240620-v1:0
amazon.nova-lite-v1:0
amazon.nova-pro-v1:0		x-markcheck-markx-markcheck-markcheck-markx-markx-markx-mark
amazon.titan-embed-text-v2:06x-markx-markx-markx-markx-markcheck-markx-markx-mark
amazon.nova-micro-v1:0x-markx-markx-markcheck-markcheck-markx-markx-markx-mark
Converse API-compatible modelsx-markPartially supported7x-markx-markcheck-markx-markx-markx-mark
mistral Mistral AI
pixtral-12b-2409
mistral-large-latest4
mistral-medium-latest4
mistral-small-latest4
pixtral-large-latest4		x-markcheck-markx-markcheck-markcheck-markx-markx-markx-mark

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More Information

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.
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 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.
6 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.
7 Note that some models from the Converse API might not support the AI Agent Node feature.