LTM-1Magic AI
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Muse EmberMeta
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Related Products
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LTM-1:
About
Magic’s LTM-1 enables 50x larger context windows than transformers. Magic's trained a Large Language Model (LLM) that’s able to take in the gigantic amounts of context when generating suggestions. For our coding assistant, this means Magic can now see your entire repository of code.
Larger context windows can allow AI models to reference more explicit, factual information and their own action history. We hope to be able to utilize this research to improve reliability and coherence.
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Muse Ember:
About
Muse Ember is an efficient multimodal AI model developed by Meta for autonomous agents, software engineering, complex reasoning, and high-volume task automation. The model specializes in repetitive agentic operations such as tool calling, code analysis, information extraction, workflow routing, and document processing. It supports text, images, audio, video, and PDF inputs with a one-million-token context window and a maximum output length of 512,000 tokens. Muse Ember can execute multistep business workflows, analyze large software repositories, perform coding tasks, and interpret visual information from documents and screenshots. Its cost-efficient architecture makes it suitable for multi-agent systems in which larger models handle planning while Muse Ember executes frequent subtasks. The model is available through Meta Model API and Muse Code, with API pricing starting at $0.10 per million input tokens and $0.50 per million output tokens.
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LTM-1:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Muse Ember:
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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LTM-1:
Audience
Developers interested in a 5 million token context window large language model
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Muse Ember:
Audience
AI developers, autonomous agent developers, software engineers, machine learning engineers, enterprise automation teams, data engineers, AI infrastructure providers, coding assistant developers, business process automation specialists, and organizations seeking cost-efficient multimodal AI, long-context reasoning, automated tool execution, document processing, software engineering assistance, and scalable multi-agent workflows
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LTM-1:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Muse Ember:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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LTM-1:
API
Offers API
Not Supported
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Muse Ember:
API
Offers API
Supported
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LTM-1:
Screenshots and Videos |
Muse Ember:
Screenshots and Videos |
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LTM-1:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Muse Ember:
Pricing
$0.10 per 1M tokens (input)
$0.10 per million input tokens and $0.50 per million output tokens
Free Version
Not Supported
Free Trial
Not Supported
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LTM-1:
Reviews/
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Muse Ember:
Reviews/
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LTM-1:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Muse Ember:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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LTM-1:
Company InformationMagic AI
Founded: 2022
United States
magic.dev/blog/ltm-1
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Muse Ember:
Company InformationMeta
Founded: 2004
United States
research.meta.ai/blog/muse-ember
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LTM-1:
Alternatives |
Muse Ember:
Alternatives |
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LTM-1:
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Muse Ember:
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LTM-1:
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Muse Ember:
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LTM-1:
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Muse Ember:
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LTM-1:
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Muse Ember:
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LTM-1:
Categories |
Muse Ember:
Categories |
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LTM-1:
Integrations
Google Cloud Platform
Not Supported
Meta AI
Not Supported
Muse
Not Supported
Muse Code
Not Supported
Quickwork
Supported
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Muse Ember:
Integrations
Google Cloud Platform
Supported
Meta AI
Supported
Muse
Supported
Muse Code
Supported
Quickwork
Not Supported
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LTM-1:
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Muse Ember:
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