Liquid AI
11 models across 3 families · Latest: d1-ultra (2026-10)
Adaptive and efficient AI models
Liquid AI's portfolio covers 11 active models across 3 current families, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 6 workload areas across 11 active tracked models; last verified 2026-10-15.
Use it for
- Teams evaluating rag, agents, and long context across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 11 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
11
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
9 open
0 open source / 9 open weights
Lowest output price
$0.120 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-10-15
d1-ultra
Freshness
2026-10-15
Researched 1d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- d1-ultra
- Latest date
- 2026-10-15
Where this lab wins
- RAG: 3 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 10 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 3 tracked models with context-token or InfiniteBench-class signal.
- Vision: 4 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
- Flagship
- d1
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Liquid AI, an MIT spin-off established in 2023, has rapidly positioned itself at the forefront of generative AI and large language model (LLM) development. Based in Cambridge, Massachusetts, the company's mission is to democratize AI solutions, ensuring they are accessible and controllable by users. Liquid AI's innovative approach transcends traditional transformer-based architectures, marking a significant evolution in the capabilities and efficiency of modern AI systems. Central to Liquid AI's innovation is the creation of Liquid Foundation Models (LFMs), which define a new standard in generative AI technology.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| d1-ultra | 2026-10-15 | - | $0.042 | $0 | Proprietary | Proprietary |
| LFM2.5-24B-A2B | 2026-10-13 | 128K | $0.10 | $1.00 | LFM Open License v1.0 | Open weights |
| d1-3B | 2026-10-07 | 32K | - | - | LFM Open License v1.0 | Open weights |
Model families
Recent releases
- d1-ultra- 2026-10-15
- LFM2.5-24B-A2B- 2026-10-13
- d1-3B- 2026-10-07
- d1-omni-600M- 2026-10-07
- d1- 2026-09-22
Explore related pages
Last reviewed: 2026-10-15. Data sourced from public lab announcements and provider documentation.