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What is LFM2?

LFM2 is a cutting-edge series of on-device foundation models specifically engineered to deliver an exceptionally fast generative-AI experience across a wide range of devices. It employs an innovative hybrid architecture that enables decoding and pre-filling speeds up to twice as fast as competing models, while also improving training efficiency by as much as threefold compared to earlier versions. Striking a perfect balance between quality, latency, and memory use, these models are ideally suited for embedded system applications, allowing for real-time, on-device AI capabilities in smartphones, laptops, vehicles, wearables, and many other platforms. This results in millisecond-level inference, enhanced device longevity, and complete data sovereignty for users. Available in three configurations with 0.35 billion, 0.7 billion, and 1.2 billion parameters, LFM2 demonstrates superior benchmark results compared to similarly sized models, excelling in knowledge recall, mathematical problem-solving, adherence to multilingual instructions, and conversational dialogue evaluations. With such impressive capabilities, LFM2 not only elevates the user experience but also establishes a new benchmark for on-device AI performance, paving the way for future advancements in the field.

What is Gemini 3 Pro?

Gemini 3 Pro represents a major leap forward in AI reasoning and multimodal intelligence, redefining how developers and organizations build intelligent systems. Trained for deep reasoning, contextual memory, and adaptive planning, it excels at both agentic code generation and complex multimodal understanding across text, image, and video inputs. The model’s 1-million-token context window enables it to maintain coherence across extensive codebases, documents, and datasets—ideal for large-scale enterprise or research projects. In agentic coding, Gemini 3 Pro autonomously handles multi-file development workflows, from architecture design and debugging to feature rollouts, using natural language instructions. It’s tightly integrated with Google’s Antigravity platform, where teams collaborate with intelligent agents capable of managing terminal commands, browser tasks, and IDE operations in parallel. Gemini 3 Pro is also the global leader in visual, spatial, and video reasoning, outperforming all other models in benchmarks like Terminal-Bench 2.0, WebDev Arena, and MMMU-Pro. Its vibe coding mode empowers creators to transform sketches, voice notes, or abstract prompts into full-stack applications with rich visuals and interactivity. For robotics and XR, its advanced spatial reasoning supports tasks such as path prediction, screen understanding, and object manipulation. Developers can integrate Gemini 3 Pro via the Gemini API, Google AI Studio, or Gemini Enterprise Agent Platform, configuring latency, context depth, and visual fidelity for precision control. By merging reasoning, perception, and creativity, Gemini 3 Pro sets a new standard for AI-assisted development and multimodal intelligence.

Media

Media

Integrations Supported

Clojure
Dyad
F#
FastRouter
Gemini
Gemini 3.1 Flash Image
Gemini Deep Research
Gemini Enterprise Agent Platform
Google Opal
GrimoAI
Java
JavaScript
OpenRouter
PHP
Ruby
Scala
Skymel
T3 Chat
Use AI
iMini

Integrations Supported

Clojure
Dyad
F#
FastRouter
Gemini
Gemini 3.1 Flash Image
Gemini Deep Research
Gemini Enterprise Agent Platform
Google Opal
GrimoAI
Java
JavaScript
OpenRouter
PHP
Ruby
Scala
Skymel
T3 Chat
Use AI
iMini

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$19.99/month
$2 per million tokens (input)
$12 per million tokens (output)
Free Version
Free Trial Offered?

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/liquid-foundation-models-v2-our-second-series-of-generative-ai-models

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

deepmind.google/models/gemini/

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