Using Contextual Language Model on Contextual AI API

Implementation guide · Contextual Language Model · Contextual AI

Serverless

Contextual AI API exposes Contextual Language Model through model ID contextual-lm. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Contextual AI API and generate an API key.
  2. 2
    Use the Contextual AI API SDK or REST API to call contextual-lm — see the documentation for request format.
API PortalDocumentation

Code Examples

See Contextual AI API documentation for integration details.

Pricing on Contextual AI API

Capabilities

No model capability flags are currently sourced.

About Contextual Language Model

Contextual Language Model is a RAG-native model from Contextual AI that trains the retriever and language model end-to-end, outperforming RAG baselines built on GPT-4 for enterprise knowledge tasks.

Full model details →

Model Specs

Released2024-06-01
ArchitectureDecoder Only

Provider

Contextual AI API

Contextual AI

San Francisco, California, United States