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What is Patronus AI?

Patronus AI is a research lab focused on the data and simulations that frontier AI models learn from. Its main offering is a catalog of reinforcement learning environments covering software engineering, computer use, customer service, and finance, each built to reflect how real applications behave rather than idealized versions of them. Agents receive tasks inside these simulated applications and are scored with reward signals, giving AI labs a way to improve performance on long, multi-step workflows. The company is also developing Digital World Models, which predict the behavior of digital environments and allow training environments to be generated at scale instead of being built one at a time by hand. These environments and models support the post-training and evaluation of AI agents that operate in software.

What is MiMo-V2.6-Pro?

MiMo-V2.6-Pro is Xiaomi MiMo’s flagship open-source omnimodal model for software engineering, agentic automation, multimodal reasoning, visual design, research, and creative production. The model was developed through large-scale reinforcement learning on heterogeneous tasks spanning coding, general agents, visual workflows, and cybersecurity. Xiaomi trained MiMo-V2.6-Pro across roughly 750,000 trajectories using large asynchronous batches, long-context training, multi-task environments, and expanded grader compute. The resulting model is designed to plan, execute, verify, and refine complex work across multiple tools and interaction environments. In software development, MiMo-V2.6-Pro supports long-horizon coding, terminal work, automation, debugging, and other agent-driven engineering tasks. Its multimodal capabilities allow it to generate interactive 3D worlds, create Blender assets from text or reference images, and control simulated robotic systems using continuous visual feedback. The model can also build frontend interfaces, design slide decks, work with Figma and media-generation tools, and automate portions of video production from concept through editing and narration. Creative capabilities extend to music composition, including generating arrangements, musical scores, and MIDI output. For research, MiMo-V2.6-Pro has been demonstrated performing literature searches, generating scientific hypotheses, running computational tools, screening materials, and assisting with formal mathematical proofs. Xiaomi has open-sourced the model family together with its technical report, reinforcement learning environments, and training code to support reproducibility and further research. MiMo-V2.6-Pro is available through Xiaomi MiMo’s desktop and developer products, OpenRouter, Hugging Face, and an API, with an UltraSpeed version offered for workflows that require much faster generation.

Media

Media

Integrations Supported

Integrations Supported

BLACKBOX AI
Canopy Wave
Cline
ClinePass
Hermes Agent
Hugging Face
Kilo Code
OpenClaw
OpenCode
OpenRouter
Roo Code
Shiori
Vercel AI Gateway
Xiaomi MiMo
Xiaomi MiMo Desktop
Xiaomi MiMo Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Custom pricing based on project scope. Contact Patronus AI to discuss.

Pricing Information

Free
$0.435 per 1 million tokens input
$0.87 per 1 million tokens output
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Patronus AI

Date Founded

2023

Company Location

United States

Company Website

www.patronus.ai/

Company Facts

Organization Name

Xiaomi Technology

Date Founded

2010

Company Location

China

Company Website

mimo.xiaomi.com

Categories and Features

Artificial Intelligence

Machine Learning
Natural Language Processing

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

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