MiMo-V2.6-FlashXiaomi Technology
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Related Products
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About
Arcee AI is a US-based open intelligence lab focused on building high-performance, open-weight AI models for developers and enterprises. It develops frontier AI systems designed for reasoning, scalability, and real-world applications. The company is known for its Trinity model family, which delivers advanced capabilities while remaining transparent and accessible. Arcee AI emphasizes continuous improvement through techniques like online reinforcement learning, allowing models to evolve after deployment. Its approach prioritizes cost efficiency, enabling powerful AI performance without excessive infrastructure costs. The platform supports developers with tools, APIs, and open-source resources to build intelligent applications. Overall, Arcee AI aims to make cutting-edge AI more accessible, practical, and scalable for a wide range of use cases.
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About
MiMo-V2.6-Flash is an open-source, natively omnimodal AI model from Xiaomi MiMo designed to balance intelligence, efficiency, and cost. The model supports coding, general agent workflows, visual reasoning, computer use, automation, and multimodal creative tasks. Its capabilities extend beyond software engineering into frontend design, presentation creation, 3D modeling, interactive world generation, video production, and embodied simulation. Xiaomi trained MiMo-V2.6-Flash with large-scale reinforcement learning across coding, general agent, visual, and cybersecurity tasks, completing roughly 750,000 training trajectories. The model is positioned as the more cost-efficient member of the MiMo-V2.6 family while retaining strong performance across software engineering, tool use, automation, and visual coding benchmarks. MiMo-V2.6-Flash is available through MiMo Desktop, AI Studio, MiMo Code, the Xiaomi MiMo API Platform, OpenRouter, and the open-source MiMo-V2.6 release.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers, enterprises, and research teams seeking scalable, open-weight AI models and tools for building advanced, cost-efficient intelligent applications
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Audience
Developers, AI engineers, agent builders, researchers, startups, and technical teams that need a cost-efficient open-source multimodal model for coding, automation, visual tasks, and tool-using workflows
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
$0.14 per 1 million tokens input
$0.28 per 1 million tokens output
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationArcee AI
Founded: 2023
United States
www.arcee.ai/
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Company InformationXiaomi Technology
Founded: 2010
China
mimo.xiaomi.com
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Categories |
Categories |
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Integrations
Arcee-SuperNova
Supported
BLACKBOX AI
Not Supported
Canopy Wave
Not Supported
Cline
Not Supported
ClinePass
Not Supported
Hermes Agent
Not Supported
Hugging Face
Not Supported
Kilo Code
Not Supported
OpenClaw
Not Supported
OpenCode
Not Supported
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Integrations
Arcee-SuperNova
Not Supported
BLACKBOX AI
Supported
Canopy Wave
Supported
Cline
Supported
ClinePass
Supported
Hermes Agent
Supported
Hugging Face
Supported
Kilo Code
Supported
OpenClaw
Supported
OpenCode
Supported
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