Liquid AI website screenshot

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 Artificial Intelligence, LLM, Inference, Foundation Models, and Liquid Networks.

Liquid AI’s developer surface includes documentation and 9 more developer resources.

18.4/100 emerging ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0
1 APIs
Artificial IntelligenceLLMInferenceFoundation ModelsLiquid NetworksEdge AIOn-Device

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/liquid-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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

1 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Liquid Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

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

Source (apis.yml)

apis.yml Raw ↑
aid: liquid-ai
url: https://raw.githubusercontent.com/api-evangelist/liquid-ai/refs/heads/main/apis.yml
name: Liquid AI
kind: company
description: 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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/liquid-ai.png
tags:
- Artificial Intelligence
- LLM
- Inference
- Foundation Models
- Liquid Networks
- Edge AI
- On-Device
tags_raw:
- AI
- LLM
- Inference
- Foundation Models
- Liquid Networks
- Edge AI
- On-Device
created: '2026-05-08'
modified: '2026-05-08'
specificationVersion: '0.23'
apis:
- aid: liquid-ai:platform
  name: Liquid AI Platform API
  description: 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 via OpenRouter for hosted inference (e.g. LFM2-24B-A2B at $0.03/M
    input, $0.12/M output; LFM2.5-1.2B-Instruct/Thinking free).
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.liquid.ai/
  baseURL: https://api.liquid.ai
  tags:
  - Artificial Intelligence
  - LLM
  - Chat Completions
  - Vision
  - Audio
  - Edge AI
  - On-Device
  tags_raw:
  - AI
  - LLM
  - Chat Completions
  - Vision
  - Audio
  - Edge AI
  - On-Device
  properties:
  - type: Documentation
    url: https://docs.liquid.ai/
  - type: GettingStarted
    url: https://docs.liquid.ai/lfm/getting-started/welcome
  - type: Pricing
    url: https://www.liquid.ai/pricing
  - type: Playground
    url: https://demos.liquid.ai/
  - type: HuggingFace
    url: https://huggingface.co/LiquidAI
  - type: LEAP
    url: https://www.liquid.ai/
common:
- type: DomainSecurity
  url: security/liquid-ai-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/Liquid4All
- type: LinkedIn
  url: https://www.linkedin.com/company/liquid-ai-inc
- type: Website
  url: https://www.liquid.ai/
- type: Documentation
  url: https://docs.liquid.ai/
- type: HuggingFace
  url: https://huggingface.co/LiquidAI
- type: Plans
  url: plans/liquid-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/liquid-ai-rate-limits.yml
- type: FinOps
  url: finops/liquid-ai-finops.yml
- type: LlmsText
  url: https://docs.liquid.ai/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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