Contextual Language Model
Contextual Language Model is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Released
- 2024-06-01
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
RAG-native language models for enterprise.
Cheapest of 1 route · Contextual AI API
About
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.
Contextual Language Model is a proprietary model. This page tracks provider routes through Contextual AI API. No headline benchmark score is tracked for Contextual Language Model yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Contextual AI API | - | - | ServerlessPartial |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Frequently asked questions
When was Contextual Language Model released?
Contextual Language Model was released on 2024-06-01.
Which providers offer Contextual Language Model?
Contextual Language Model is available from 1 provider: Contextual AI API.
RAG-native language models for enterprise.
Cheapest of 1 route · Contextual AI API