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
  • Gemini platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini platform
  • FinOpsly Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for FinOpsly
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • SearchUnify Reviews & Ratings
    4.5 out of 5 stars 150 Ratings
    Company Website for SearchUnify
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Crelate Reviews & Ratings
    4.5 out of 5 stars 699 Ratings
    Company Website for Crelate
  • Creatio Reviews & Ratings
    4.6 out of 5 stars 589 Ratings
    Company Website for Creatio
  • Hyperproof Reviews & Ratings
    4.6 out of 5 stars 354 Ratings
    Company Website for Hyperproof
  • net2phone Reviews & Ratings
    4.4 out of 5 stars 197 Ratings
    Company Website for net2phone

What is Nemotron 3.5 Lightning?

NVIDIA's Nemotron 3.5 Lightning represents an advanced mixture-of-experts model that features an impressive 30 billion parameters, with 3 billion of these actively engaged, and is specifically designed to deliver efficient, high-throughput performance for AI agents that operate continuously over extended periods. This model is crafted for the execution aspects of agentic systems, skillfully handling common tasks such as invoking tools, verifying outputs, carrying out routine commands, and assigning responsibilities to subagents, while larger reasoning models focus on strategic planning and orchestration. By utilizing a mixture-of-experts framework, it selectively engages a limited number of parameters for each input token, effectively combining the vast potential of a larger model with substantially decreased computational requirements. The training process is fine-tuned for popular agent harnesses, significantly improving inference speed through methods like speculative decoding, multi-token prediction, DFlash, and DSpark, which enhance its adaptability to various operational contexts. Moreover, it supports BF16 and NVFP4 checkpoints, ensuring deployment flexibility across platforms ranging from local systems such as DGX Spark and GeForce RTX hardware to large-scale data center environments. This innovative design not only amplifies AI capabilities but also positions Nemotron 3.5 Lightning as a pivotal resource for the evolution of intelligent systems, paving the way for future advancements in the field.

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

Hermes Agent
OpenClaw
NVIDIA NemoClaw
Portable Computer by Perplexity

Integrations Supported

Hermes Agent
OpenClaw
BLACKBOX AI
Canopy Wave
Cline
ClinePass
Hugging Face
Kilo Code
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

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

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 Fable 5.2 Reviews & Ratings

Claude Fable 5.2

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
Gemini 4 Argon Reviews & Ratings

Gemini 4 Argon

Google
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