MiMo-V2.6-Flash Reviews & Ratings

MiMo-V2.6-Flash

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
design 5 out of 5 stars

Alternatives to Consider

  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • kama.ai Reviews & Ratings
    4.8 out of 5 stars 9 Ratings
    Company Website for kama.ai
  • SuperOps Reviews & Ratings
    4.5 out of 5 stars 297 Ratings
    Company Website for SuperOps
  • Uptime.com Reviews & Ratings
    4.6 out of 5 stars 479 Ratings
    Company Website for Uptime.com
  • AnalyticsCreator Reviews & Ratings
    4.6 out of 5 stars 46 Ratings
    Company Website for AnalyticsCreator
  • RetailEdge Reviews & Ratings
    4.8 out of 5 stars 201 Ratings
    Company Website for RetailEdge
  • ARGOS Identity Reviews & Ratings
    4.9 out of 5 stars 8 Ratings
    Company Website for ARGOS Identity
  • Adaptive Security Reviews & Ratings
    4.9 out of 5 stars 152 Ratings
    Company Website for Adaptive Security

What is Nemotron 3 Super?

The Nemotron-3 Super stands out as a groundbreaking addition to NVIDIA's Nemotron 3 series of open models, designed specifically to support advanced agentic AI systems capable of reasoning, planning, and executing complex multi-step workflows in challenging settings. It incorporates a distinctive hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the streamlined capabilities of Mamba layers with the contextual richness offered by transformer attention mechanisms, enabling it to effectively handle long sequences and complicated reasoning tasks with notable precision and efficiency. By activating only a selected subset of its parameters for each token, this design greatly improves computational efficiency while ensuring strong reasoning skills, making it particularly suitable for scalable inference in demanding situations. With an impressive configuration of around 120 billion parameters, of which approximately 12 billion are engaged during inference, the Nemotron-3 Super significantly enhances its capacity for managing multi-step reasoning and facilitating collaborative interactions among agents in broad contexts. This combination of features not only empowers it to address a wide array of challenges in the AI landscape but also positions it as a key player in the evolution of intelligent systems. Overall, the model exemplifies the potential for future innovations in AI technology.

What is MiMo-V2.6-Flash?

MiMo-V2.6-Flash is an open-source, natively omnimodal AI model from Xiaomi MiMo built for users that need strong agentic and multimodal capabilities at a comparatively low operating cost. It is the efficiency-oriented model in the MiMo-V2.6 family, complementing the higher-capability MiMo-V2.6-Pro model. MiMo-V2.6-Flash supports software engineering, terminal-based workflows, tool use, automation, computer interaction, visual reasoning, and other multi-step agent tasks. Its multimodal abilities allow it to work with text, images, video, rendered environments, and other visual inputs when completing complex tasks. Xiaomi demonstrates the MiMo-V2.6 family generating frontend interfaces, presentation decks, 3D scenes, Blender assets, interactive worlds, and other visual outputs from natural-language or reference-based instructions. The models can also coordinate multiple agents, verify rendered results, and iteratively refine generated content based on visual feedback. In embodied simulation environments, MiMo-V2.6 can process multi-view camera feeds and continuously reason about actions such as object grasping, matching, and placement. MiMo-V2.6-Flash was trained with large-scale reinforcement learning across heterogeneous coding, general-agent, visual, and cybersecurity environments. Xiaomi reports that the Flash training run completed approximately 30 reinforcement learning steps across roughly 750,000 trajectories and significantly improved performance on held-out software engineering and automation evaluations. The company has released the MiMo-V2.6 series together with technical documentation, training environments, and reinforcement learning code so researchers can inspect and reproduce portions of the training approach. MiMo-V2.6-Flash is available through MiMo Desktop, AI Studio, MiMo Code, the Xiaomi MiMo API Platform, OpenRouter, and the project’s open-source distribution channels.

Media

Media

Integrations Supported

OpenTag
Perplexity Computer
Perplexity Pro
Together AI

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

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
$0.14 per 1 million tokens input
$0.28 per 1 million tokens output
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

Company Facts

Organization Name

Xiaomi Technology

Date Founded

2010

Company Location

China

Company Website

mimo.xiaomi.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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

Popular Alternatives

Claude Sonnet 5.5 Reviews & Ratings

Claude Sonnet 5.5

Anthropic
5.0 out of 5 stars

Popular Alternatives

Claude Fable 5.2 Reviews & Ratings

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
Claude Opus 5.5 Reviews & Ratings

Claude Opus 5.5

Anthropic
5.0 out of 5 stars
Kimi K3.1 Pro Reviews & Ratings

Kimi K3.1 Pro

Moonshot AI
5.0 out of 5 stars
GPT-6.1 Terra Reviews & Ratings

GPT-6.1 Terra

OpenAI
5.0 out of 5 stars
MiMo-V2.6-Pro Reviews & Ratings

MiMo-V2.6-Pro

Xiaomi Technology
5.0 out of 5 stars