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What is LTM-2-mini?

LTM-2-mini is designed to manage a context of 100 million tokens, which is roughly equivalent to about 10 million lines of code or approximately 750 full-length novels. This model utilizes a sequence-dimension algorithm that proves to be around 1000 times more economical per decoded token compared to the attention mechanism employed by Llama 3.1 405B when operating within the same 100 million token context window. Additionally, the difference in memory requirements is even more pronounced; running Llama 3.1 405B with a 100 million token context requires an impressive 638 H100 GPUs per user just to sustain a single 100 million token key-value cache. In stark contrast, LTM-2-mini only needs a tiny fraction of the high-bandwidth memory available in one H100 GPU for the equivalent context, showcasing its remarkable efficiency. This significant advantage positions LTM-2-mini as an attractive choice for applications that require extensive context processing while minimizing resource usage. Moreover, the ability to efficiently handle such large contexts opens the door for innovative applications across various fields.

What is GPT-4.1 mini?

GPT-4.1 mini is a more lightweight version of the GPT-4.1 model, designed to offer faster response times and reduced latency, making it an excellent choice for applications that require real-time AI interaction. Despite its smaller size, GPT-4.1 mini retains the core capabilities of the full GPT-4.1 model, including handling up to 1 million tokens of context and excelling at tasks like coding and instruction following. With significant improvements in efficiency and cost-effectiveness, GPT-4.1 mini is ideal for developers and businesses looking for powerful, low-latency AI solutions.

Media

Media

Integrations Supported

Integrations Supported

BLACKBOX AI
Devin Desktop
EasyClaw
GPT-4.1
GPT-4.1 nano
GitHub Copilot
HTML
Microsoft Foundry
Microsoft Foundry Models
OpenAI
Qodo
SecondBrain
Snowflake
Snowflake Cortex AI
T3 Chat
Trancy
VoltAgent

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.40 per 1M tokens (input)
$0.40 per 1 million tokens (input)
$0.10 per 1 million tokens (cached input)
$1.60 per 1 million tokens (output)

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Magic AI

Date Founded

2022

Company Location

United States

Company Website

magic.dev/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/gpt-4-1/

Categories and Features

AI Coding Models

Not specified

AI 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

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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