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Description
Agora-1 is an innovative multi-agent world model that facilitates real-time interaction among several participants, whether they are human or AI, within a shared world simulation. This model represents the inaugural installment in a sequence of multi-agent world models aimed at uncovering new shared experiences in various fields such as gaming, robotics, defense, education, and foundational models. Traditionally, world models have excelled at creating high-fidelity simulations of diverse environments but were limited by the fact that only one active participant could engage with these simulated worlds at a time. With Agora-1, the concept of multi-agent world simulations is brought to life, enabling as many as four players to engage simultaneously in the same generated environment. These players are immersed in a competitive deathmatch simulation, where each participant interacts with the same world concurrently, as the model adeptly simulates player actions, manages a unified world state, and streams the rendered visuals to every player, enhancing the immersive experience. This advancement paves the way for more collaborative and interactive engagements in various domains.
Description
MiMo-V2.6-Flash is Xiaomi MiMo’s efficiency-focused open-source omnimodal model for coding, automation, visual work, and agentic applications. It is designed to provide a balance between model capability, inference cost, and practical performance across a broad range of workloads. The model can perform software engineering tasks, use tools, execute multi-step workflows, and interact with computer environments. Its multimodal capabilities support applications such as frontend development, presentation design, 3D content creation, game development, and visual reasoning. MiMo-V2.6 can also use multi-view visual inputs in embodied simulation environments to reason about scenes and guide actions through feedback loops. Xiaomi trained the Flash model using reinforcement learning over roughly 750,000 trajectories spanning coding, general agents, visual tasks, and cybersecurity environments. During that training process, Xiaomi reports substantial gains in long-horizon software engineering and general workflow performance compared with the model’s earlier checkpoints. The company has open-sourced the broader MiMo-V2.6 release along with its technical report, reinforcement learning environments, and RL code to support research and reproducibility. MiMo-V2.6-Flash can be accessed through MiMo Desktop, AI Studio, MiMo Code, the MiMo API Platform, OpenRouter, and Xiaomi MiMo’s open-source distribution channels.
API Access
Has API
No
API Access
Has API
Yes
Integrations
BLACKBOX AI
No
Canopy Wave
No
Cline
No
ClinePass
No
Hermes Agent
No
Hugging Face
No
Kilo Code
No
OpenClaw
No
OpenCode
No
OpenRouter
No
Integrations
BLACKBOX AI
Yes
Canopy Wave
Yes
Cline
Yes
ClinePass
Yes
Hermes Agent
Yes
Hugging Face
Yes
Kilo Code
Yes
OpenClaw
Yes
OpenCode
Yes
OpenRouter
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
$0.14 per 1 million tokens input
$0.28 per 1 million tokens output
$0.28 per 1 million tokens output
Free Trial
No
Free Version
Yes
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
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
Odyssey
Founded
2023
Country
United States
Website
odyssey.ml/introducing-agora-1
Vendor Details
Company Name
Xiaomi Technology
Founded
2010
Country
China
Website
mimo.xiaomi.com