LLM Reference
Liquid AI

Liquid AI

5 models across 2 families · Latest: LFM2.5 230M (2026-06)

Adaptive and efficient AI models

RAGAgentsLong contextClassificationJSON / Tool use

Liquid AI's portfolio covers 5 active models across 2 current families, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 5 workload areas across 5 active tracked models; last verified 2026-07-10.

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 5 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

5

Current models from this lab, excluding deprecated ones

Active families

2

Current model families from this lab

Open catalog

5 open

0 open source / 5 open weights

Lowest output price

$0.120 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2026-06-25

LFM2.5 230M

Freshness

2026-07-10

Researched 53d ago

aging

Information

Founded2023
Cambridge, MA, United States

Release cadence

Dated releases
5
Latest model
LFM2.5 230M
Latest date
2026-06-25

Where this lab wins

  • RAG: 1 tracked model with ruler / needle retrieval benchmarks.
  • Agentic: 4 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
  • Classification: 3 tracked models with MMLU-class moderation/safety coverage.

Flagship quality / price signal

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

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
LFM2.5 230M2026-06-2532k--LFM Open License v1.0Open weights
LFM2.5 8B A1B2026-05-28128k--LFM Open License v1.0Open weights
LFM2.5 1.2B Instruct2026-02-0132k--LFM Open License v1.0Open weights

Model families

Recent releases

  1. LFM2.5 230M- 2026-06-25
  2. LFM2.5 8B A1B- 2026-05-28
  3. LFM2.5 1.2B Instruct- 2026-02-01
  4. Together LFM2-24B- 2025-12-01
  5. LFM2-24B-A2B- 2025-11-01

Explore related pages

Last reviewed: 2026-07-10. Data sourced from public lab announcements and provider documentation.