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Liquid AI pricing

Builds Liquid Foundation Models for on-device, edge, and cloud AI deployment with an API for developers.

Free plan
Yes
Paid from
-
Plans
4
Free trial
-

What is Liquid AI?

Liquid AI develops Liquid Foundation Models, a family of compact AI models designed to run on phones, laptops, cars, and other edge hardware as well as in the cloud. It targets developers and enterprises that need low latency, privacy, and hardware-aware deployment for tasks like local agents, vision, audio, and decision making. Models run on runtimes such as llama.cpp, MLX, ONNX, and CoreML, and the company offers an API for trying and integrating them. Deployment spans phones, laptops, cars, and industry settings, with an API available for developers.

Plans and prices

API

-

Usage steps

  • d1 input per MTok: -
  • d1 cached input per MTok: -
  • d1 output per MTok: -
  • d1-ultra input per MTok: -
  • d1-ultra cached input per MTok: -
  • d1-ultra output per MTok: -
  • LFM2.5-24B-A2B input per MTok: -
  • LFM2.5-24B-A2B cached input per MTok: -
  • LFM2.5-24B-A2B output per MTok: -
  • LFM3-1.7B input per MTok: -
  • LFM3-1.7B cached input per MTok: -
  • LFM3-1.7B output per MTok: -
  • API access to Liquid models
  • Same price across platforms
  • $2 free credit for new orgs

Free

Free

annual revenue
less than $10M
  • Use open weight models in production
  • Download, run, fine-tune every open LFM
  • Deploy on mobile, edge, on-prem
  • Private fine-tunes, no copyleft

Enterprise license

Customcontact sales

annual revenue
more than $10M
  • Paid license for open weight models
  • Download, run, fine-tune every open LFM
  • Deploy on mobile, edge, on-prem
  • Private fine-tunes, no copyleft

Custom Deployment

Customcontact sales

  • Bespoke architecture and optimization
  • OEM and on-prem deployment support
  • Dedicated support and SLAs
  • Customer data never used for training

Prices in USD, as shown by liquid.ai. Source: pricing page. Last checked October 30, 2026.

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Below is what the StableMRR pricing directory read from Liquid AI's own pricing page (last checked 2026-10-30). It can be out of date, so treat it as a starting point.

Category: Developer tools / API tools
What it does: Builds Liquid Foundation Models for on-device, edge, and cloud AI deployment with an API for developers.
Plans:
- API: -. Includes: API access to Liquid models, Same price across platforms, $2 free credit for new orgs
- Free: Free. Limits: annual revenue less than $10M. Includes: Use open weight models in production, Download, run, fine-tune every open LFM, Deploy on mobile, edge, on-prem, Private fine-tunes, no copyleft
- Enterprise license: Contact sales. Limits: annual revenue more than $10M. Includes: Paid license for open weight models, Download, run, fine-tune every open LFM, Deploy on mobile, edge, on-prem, Private fine-tunes, no copyleft
- Custom Deployment: Contact sales. Includes: Bespoke architecture and optimization, OEM and on-prem deployment support, Dedicated support and SLAs, Customer data never used for training
Alternatives in the directory: 1DevTool, 1Lookup, 0x, 100ms
Pricing page: https://www.liquid.ai/pricing
Directory listing: https://stablemrr.com/p/liquid-ai

First ask me three short questions about my team size, budget and what I need it for. Then recommend one plan, tell me what could make it a bad fit, and compare it with the alternatives. Finish with what I should check on the vendor's site before I pay.

Pricing facts

Pricing model
Mixed

About Liquid AI

Platforms
api
Integrations
llama.cpp, MLX, ONNX, Ollama, SGLang, vLLM, CoreML, Hugging Face, Apollo, GitHub, Discord

Features

  • API access to Liquid models
  • Open weight model licensing
  • Custom model deployment
  • $2 free credit for new organizations

Price history

No price changes recorded since we started tracking on October 30, 2026.

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How this page was made. Plans and prices are read automatically from liquid.ai's public pricing page, checked against the page text, and re-checked about every week. Method. Something wrong? Tell us.