Liquid AI
Liquid AI is an MIT spinoff developing Liquid Foundation Models (LFMs) - a new class of generative models based on liquid neural networks. Offers LFM2 (2.6B / 8B-A1B / 24B-A2B) and LFM2.5 (350M / 1.2B variants) with text, vision, audio, and thinking modes. The LEAP platform enables LFM customization and on-device deployment.
Liquid AI publishes 1 API on the APIs.io network. Tagged areas include AI, LLM, Inference, Foundation Models, and Liquid Networks.
Liquid AI’s developer surface includes documentation and 9 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Liquid AI Platform API
Hosted inference and customization API for the LFM family. Includes Liquid Playground and LEAP customization/deployment platform. LFM models also distributed on Hugging Face and...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Liquid Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Liquid Ai Finops
FINOPSSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type