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What is Sup AI?

Sup AI is a groundbreaking platform that merges outputs from several top large language models, such as GPT, Claude, and Llama, to create responses that are more detailed, accurate, and rigorously validated than those generated by any single model. Utilizing a real-time “logprob confidence scoring” mechanism, it assesses the probability of each token to pinpoint areas of uncertainty and potential errors; when a model's confidence falls below a predetermined threshold, the response generation is immediately suspended, ensuring high-quality and trustworthy answers. The platform features “multi-model fusion,” which systematically compares and integrates outputs from various models, effectively cross-verifying and distilling the best aspects into a unified final response. Furthermore, Sup is enhanced with “multimodal RAG” (retrieval-augmented generation), which allows the incorporation of diverse external data sources, including text, PDFs, and images, thereby enriching the contextual foundation of its responses. This capability guarantees that the AI can access accurate information and remain pertinent, effectively enabling it to retain vital data, thus significantly elevating the user experience. In essence, Sup AI symbolizes a major leap forward in the processing and presentation of information through AI technology, paving the way for future developments in the field.

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.

Media

Media

Integrations Supported

Claude
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.8
Claude Sonnet 4.5
Claude Sonnet 4.6
GLM-4.1V
GLM-4.6
GLM-4.7
GLM-5
GLM-5.1
GPT-5 mini
GPT-5 pro
Gemini 2.5 Flash
Gemini 3 Pro Image
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Gemini 3.5 Pro
Grok 4
Qwen3-Max

Integrations Supported

Claude
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.8
Claude Sonnet 4.5
Claude Sonnet 4.6
GLM-4.1V
GLM-4.6
GLM-4.7
GLM-5
GLM-5.1
GPT-5 mini
GPT-5 pro
Gemini 2.5 Flash
Gemini 3 Pro Image
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Gemini 3.5 Pro
Grok 4
Qwen3-Max

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Sup AI

Company Location

United States

Company Website

sup.ai/

Company Facts

Organization Name

Magic AI

Date Founded

2022

Company Location

United States

Company Website

magic.dev/

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