Contextual AI
1 model across 1 family · Latest: Contextual Language Model (2024-06)
RAG-native language models for enterprise.
Contextual AI's portfolio covers 1 active model across 1 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 1 active tracked model; last verified 2026-06-29.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 1 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
1
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-06-01
Contextual Language Model
Freshness
2026-06-29
Researched 28d ago
Information
Release cadence
Showing 1 recent dated release (full timeline below). Latest: Contextual Language Model (2024-06-01).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: Contextual Language Model (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
Contextual AI is an American AI company founded in 2023. RAG-native language models for enterprise. Contextual AI ships 1 model family totaling 1 model, with the most recent release Contextual Language Model in 2024-06. Notable families include Contextual Language Model. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators. View official API endpoints, benchmark performance, and coding/agent fit for every Contextual AI model.
About
Contextual AI is an enterprise AI company founded in 2023 by Douwe Kiela (former Head of Research at Hugging Face) and Amanpreet Singh. The company pioneered RAG 2.0, an end-to-end optimized retrieval-augmented generation approach that trains the retriever and language model as an integrated system. Their Contextual Language Models (CLMs) achieve state-of-the-art performance on enterprise knowledge tasks, outperforming RAG baselines built on GPT-4.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Contextual Language Model | 2024-06-01 | - | - | - | Proprietary | Proprietary |
Model families
Recent releases
- Contextual Language Model- 2024-06-01
FAQ
Who founded Contextual AI and when?
Contextual AI was founded in 2023 and is associated with San Francisco, California, United States.
What models has Contextual AI released?
Contextual AI ships 1 model across 1 family: Contextual Language Model.
Is Contextual AI's technology open source?
Contextual AI's models are proprietary.
Where is Contextual AI headquartered?
Contextual AI is headquartered in San Francisco, California, United States.
What is Contextual AI known for?
RAG-native language models for enterprise. Its most prominent tracked family is Contextual Language Model.
How can I access Contextual AI's models?
Contextual AI's models are available via Contextual AI API.
Explore related pages
Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.