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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 Grok Code Fast 1?

Grok Code Fast 1 is the latest model in the Grok family, engineered to deliver fast, economical, and developer-friendly performance for agentic coding. Recognizing the inefficiencies of slower reasoning models, the team at xAI built it from the ground up with a fresh architecture and a dataset tailored to software engineering. Its training corpus combines programming-heavy pre-training with real-world code reviews and pull requests, ensuring strong alignment with actual developer workflows. The model demonstrates versatility across the development stack, excelling at TypeScript, Python, Java, Rust, C++, and Go. In performance tests, it consistently outpaces competitors with up to 190 tokens per second, backed by caching optimizations that achieve over 90% hit rates. Integration with launch partners like GitHub Copilot, Cursor, Cline, and Roo Code makes it instantly accessible for everyday coding tasks. Grok Code Fast 1 supports everything from building new applications to answering complex codebase questions, automating repetitive edits, and resolving bugs in record time. The cost structure is intentionally designed to maximize accessibility, at just $0.20 per million input tokens and $1.50 per million outputs. Real-world human evaluations complement benchmark scores, confirming that the model performs reliably in day-to-day software engineering. For developers, teams, and platforms, Grok Code Fast 1 offers a future-ready solution that blends speed, affordability, and practical coding intelligence.

Media

Media

Integrations Supported

OpenRouter
C
C++
Dessix
GitHub Copilot
Go
Grok Build
Java
JavaScript
Kilo Code
Laravel
Microsoft Foundry Models
PHP
Python
Roo Code
Rust
Shiori
Together AI
Visual Studio
Visual Studio Code

Integrations Supported

OpenRouter
C
C++
Dessix
GitHub Copilot
Go
Grok Build
Java
JavaScript
Kilo Code
Laravel
Microsoft Foundry Models
PHP
Python
Roo Code
Rust
Shiori
Together AI
Visual Studio
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0.20 per million input tokens
$0.20 per million input tokens
$1.50 per million output tokens
$0.02 per million cached tokens
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

SpaceXAI

Date Founded

2023

Company Location

United States

Company Website

x.ai

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