Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud Speech-to-Text Reviews & Ratings
    361 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • VKS Reviews & Ratings
    26 Ratings
    Company Website
  • Partful Reviews & Ratings
    20 Ratings
    Company Website
  • RunPod Reviews & Ratings
    206 Ratings
    Company Website
  • AI Video Cut Reviews & Ratings
    1 Rating
    Company Website
  • ClickLearn Reviews & Ratings
    67 Ratings
    Company Website
  • Epicor Connected Process Control Reviews & Ratings
    4 Ratings
    Company Website
  • Enterprise Bot Reviews & Ratings
    23 Ratings
    Company Website
  • Viktor Reviews & Ratings
    18 Ratings
    Company Website

What is LFM2.5?

Liquid AI's LFM2.5 marks a significant evolution in on-device AI foundation models, designed to optimize efficiency and performance for AI inference across edge devices, including smartphones, laptops, vehicles, IoT systems, and various embedded hardware, all while eliminating reliance on cloud computing. This upgraded version builds on the previous LFM2 framework by significantly increasing the scale of pretraining and enhancing the stages of reinforcement learning, leading to a collection of hybrid models that feature approximately 1.2 billion parameters and successfully balance adherence to instructions, reasoning capabilities, and multimodal functions for real-world applications. The LFM2.5 lineup includes various models, such as Base (for fine-tuning and personalization), Instruct (tailored for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language editions, all carefully designed for swift on-device inference, even under strict memory constraints. Additionally, these models are offered as open-weight alternatives, enabling easy deployment through platforms like llama.cpp, MLX, vLLM, and ONNX, which enhances flexibility for developers. With these advancements, LFM2.5 not only solidifies its position as a powerful solution for a wide range of AI-driven tasks but also demonstrates Liquid AI's commitment to pushing the boundaries of what is possible with on-device technology. The combination of scalability and versatility ensures that developers can harness the full potential of AI in practical, everyday scenarios.

What is Aion 1.0 Instruct?

Aion-1.0-Instruct is a recently launched compact language model incorporated into Microsoft Edge as part of a developer preview, which focuses on early testing and collecting user feedback. This innovative model is tailored to improve Edge's on-device Prompt and Writing Assistance APIs, offering web developers a faster, smaller, and more efficient AI-driven solution for browser features. Previously, Microsoft had employed Phi-4-mini for these APIs; however, its high hardware demands limited accessibility across various devices. In contrast, Aion-1.0-Instruct expands compatibility to a significantly wider range of devices, including those with less capable GPUs and even those that operate solely on CPU inference without a GPU, all while preserving excellent performance in various web applications. Developers can access this model through the Edge Canary and Dev channels, allowing them to evaluate its performance in real-world web settings, examine API interoperability, and provide feedback before final modifications. By enabling developers to effortlessly add AI capabilities to their websites and browser extensions, Aion-1.0-Instruct aims to enrich user experiences significantly. Moreover, its introduction could potentially revolutionize web development, making AI features more accessible and user-friendly for a larger audience. As the landscape of web technologies continues to evolve, the implications of this model will likely extend far beyond initial expectations.

Media

Media

Integrations Supported

Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
JavaScript
LEAP
Llama
Llama 3.2
Microsoft Edge
Qwen3

Integrations Supported

Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
JavaScript
LEAP
Llama
Llama 3.2
Microsoft Edge
Qwen3

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

blogs.windows.com/msedgedev/2026/06/02/expanding-on-device-ai-in-microsoft-edge-new-models-and-apis-for-the-web/

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Aion 1.0 Plan Reviews & Ratings

Aion 1.0 Plan

Microsoft
HunyuanOCR Reviews & Ratings

HunyuanOCR

Tencent
LFM2.5 Reviews & Ratings

LFM2.5

Liquid AI
MedGemma Reviews & Ratings

MedGemma

Google DeepMind
MAI-1-preview Reviews & Ratings

MAI-1-preview

Microsoft AI