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What is LFM-3B?

LFM-3B stands out for its exceptional performance given its smaller dimensions, solidifying its lead among 3 billion parameter models, hybrids, and RNNs, and even outpacing previous generations of 7 billion and 13 billion parameter models. Moreover, it achieves results comparable to Phi-3.5-mini on numerous benchmarks, despite being 18.4% more compact. This remarkable efficiency and effectiveness make LFM-3B an ideal choice for mobile applications and various edge-based text processing tasks, demonstrating its adaptability across multiple environments. Its impressive capabilities indicate a significant advancement in model design, making it a frontrunner in contemporary AI solutions.

What is GPT-5 nano?

GPT-5 nano is OpenAI’s fastest and most cost-efficient version of the GPT-5 model, engineered to handle high-speed text and image input processing for tasks such as summarization, classification, and content generation. It features an extensive 400,000-token context window and can output up to 128,000 tokens, allowing for complex, multi-step language understanding despite its focus on speed. With ultra-low pricing—$0.05 per million input tokens and $0.40 per million output tokens—GPT-5 nano makes advanced AI accessible to budget-conscious users and developers working at scale. The model supports a variety of advanced API features, including streaming output, function calling for interactive applications, structured outputs for precise control, and fine-tuning for customization. While it lacks support for audio input and web search, GPT-5 nano supports image input, code interpretation, and file search, broadening its utility. Developers benefit from tiered rate limits that scale from 500 to 30,000 requests per minute and up to 180 million tokens per minute, supporting everything from small projects to enterprise workloads. The model also offers snapshots to lock performance and behavior, ensuring consistent results over time. GPT-5 nano strikes a practical balance between speed, cost, and capability, making it ideal for fast, efficient AI implementations where rapid turnaround and budget are critical. It fits well for applications requiring real-time summarization, classification, chatbots, or lightweight natural language processing tasks. Overall, GPT-5 nano expands the accessibility of OpenAI’s powerful AI technology to a broader user base.

Media

Media

Integrations Supported

Mirai

Integrations Supported

Brokk
C++
CSS
ChatGPT Enterprise
ChatGPT Plus
Cheaper Inference
Codex CLI
GitHub
Google Drive
JavaScript
Kotlin
Microsoft SharePoint
Microsoft Teams
Node.js
OpenAI Codex
PHP
React
Rust

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.05 per 1M tokens
Input: $0.05 per 1M tokens
Output: $0.4 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Liquid AI

Company Location

United States

Company Website

www.liquid.ai/liquid-foundation-models

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

platform.openai.com/docs/models/gpt-5-nano

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

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