Model Deprecation

Model deprecation means that certain models may be phased out or become unavailable as providers update their offerings. Check the official deprecation documentation on your platform (VertexAI, Bedrock, etc) for the latest information about supported models and timelines.

For major models such as Anthropic it can be prudent to check their deprecation schedules, even if you are using them via third-party platforms. Exact deprecation dates may vary by platform and do not always align with the listed dates.

Below are direct links to model deprecation documentation for platform and model providers:

Model Deprecation Links

Anthropic: Anthropic Model Deprecations

AWS Bedrock: Bedrock Model Lifecycle

Azure Foundry: Azure AI Foundry Model Lifecycle & Retirement

Azure OpenAI: Azure OpenAI Model Retirements

Google Vertex AI: Vertex AI Model Deprecations

Groq Cloud: Groq Model Deprecation

HuggingFace Inference Endpoint: HuggingFace Inference Endpoints (see API docs for endpoint/model status)

IBM WatsonX: IBM Foundation Model Lifecycle

Mistral AI: Mistral AI Models

OpenAI: OpenAI Model Deprecations

Replicate: Replicate Documentation (model status and deprecation are noted per model)

Together AI: Together AI Deprecations

Refer to their official documentation. Staying informed will help you avoid disruptions due to model deprecation and ensure you are using the most up-to-date models for your projects.