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Description
MultiO is an innovative online AI platform that consolidates models from various providers such as OpenAI, Anthropic, Google, xAI, and Meta under a single subscription. The platform features automatic routing that directs each inquiry to the most cost-effective model based on the nature of the request; however, users also have the option to manually select or prioritize a specific model, as well as compare outputs from up to three different models side by side. Each interaction provides a detailed receipt outlining the precise token cost according to published pricing. Additionally, the workspace supports extensive research efforts with proper citations, capabilities for generating images and videos, live voice interactions, and document management with options for exporting to Word, Excel, and PDF formats. The coding assistant is compatible with GitHub repositories and facilitates the opening of pull requests, enhancing the workflow for developers. Furthermore, MultiO offers an API for developers to integrate its features into their applications. Users can take advantage of a free trial without needing a credit card, which grants access to 3,000,000 tokens, while the Pro subscription is available for $20 monthly, providing an attractive option for those seeking advanced AI capabilities. Overall, MultiO aims to streamline the user experience by making powerful AI tools accessible and easy to navigate.
Description
Muse Ember is a multimodal AI model developed by Meta Superintelligence Labs to provide efficient reasoning and task execution for autonomous AI agents and enterprise applications. The model is optimized for high-volume workloads involving tool calls, coding subtasks, data extraction, document analysis, and automated business processes. Its one-million-token context window allows applications to process extensive software repositories, long documents, and large collections of business records in a single request. Muse Ember accepts text, images, audio, video, and PDF inputs, enabling developers to build AI systems that understand multiple forms of information without switching between specialized models. Its agentic capabilities allow applications to retrieve records, interact with software tools, execute sequential operations, and update information across connected systems. For software development, the model supports source code inspection, automated testing, targeted code modifications, and technical problem-solving within agent-driven development environments. Meta reports benchmark scores of 37.8% on AutomationBench-AA, 40.9% on Terminal-Bench 4.0, and 27.2% on FrontierCode 2.0-AA. The model can operate as a specialized execution component alongside larger models such as Muse Wonder and Muse Spark, reducing the cost of repeated operations in multi-agent workflows. Muse Ember is accessible through Meta Model API and Muse Code, with usage-based pricing of $0.10 per million input tokens, $0.004 per million cached input tokens, and $0.50 per million output tokens.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
GitHub
Yes
Google Cloud Platform
No
Meta AI
No
Model Context Protocol (MCP)
Yes
Muse
No
Muse Code
No
Integrations
GitHub
No
Google Cloud Platform
Yes
Meta AI
Yes
Model Context Protocol (MCP)
No
Muse
Yes
Muse Code
Yes
Pricing Details
$20/month
Pro costs $20 per month. The free trial includes 3,000,000 tokens and does not require a payment card.
Free Trial
Yes
Free Version
No
Pricing Details
$0.10 per 1M tokens (input)
$0.10 per million input tokens and $0.50 per million output tokens
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Five S LLC
Website
multio.ai
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/muse-ember
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No