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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 mini?

GPT-5 mini is a faster, more affordable variant of OpenAI’s advanced GPT-5 language model, specifically tailored for well-defined and precise tasks that benefit from high reasoning ability. It accepts both text and image inputs (image input only), and generates high-quality text outputs, supported by a large 400,000-token context window and a maximum of 128,000 tokens in output, enabling complex multi-step reasoning and detailed responses. The model excels in providing rapid response times, making it ideal for use cases where speed and efficiency are critical, such as chatbots, customer service, or real-time analytics. GPT-5 mini’s pricing structure significantly reduces costs, with input tokens priced at $0.25 per million and output tokens at $2 per million, offering a more economical option compared to the flagship GPT-5. While it supports advanced features like streaming, function calling, structured output generation, and fine-tuning, it does not currently support audio input or image generation capabilities. GPT-5 mini integrates seamlessly with multiple API endpoints including chat completions, responses, embeddings, and batch processing, providing versatility for a wide array of applications. Rate limits are tier-based, scaling from 500 requests per minute up to 30,000 per minute for higher tiers, accommodating small to large scale deployments. The model also supports snapshots to lock in performance and behavior, ensuring consistency across applications. GPT-5 mini is ideal for developers and businesses seeking a cost-effective solution with high reasoning power and fast throughput. It balances cutting-edge AI capabilities with efficiency, making it a practical choice for applications demanding speed, precision, and scalability.

Media

Media

Integrations Supported

Mirai

Integrations Supported

Brokk
Buda
C++
CSS
ChatGPT
Ghost
Google Drive
Helpy Chat
Java
Kotlin
OpenAI Codex
PowerShell
PrivatClaw
Python
React
Rust
Thread Deck
Twigg

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.25 per 1M tokens
Input: $0.25 per 1M tokens
Output: $2 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-mini

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 Coding Models

Not specified

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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