Command R

Command R

Cohere AI
+
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About

Command’s model outputs come with clear citations that mitigate the risk of hallucinations and enable the surfacing of additional context from the source materials. Command can write product descriptions, help draft emails, suggest example press releases, and much more. Ask Command multiple questions about a document to assign a category to the document, extract a piece of information, or answer a general question about the document. Where answering a few questions about a document can save you a few minutes, doing it for thousands of documents can save a company years. This family of scalable models balances high efficiency with strong accuracy to enable enterprises to move from proof of concept into production-grade AI.

About

NVIDIA Nemotron 3.5 Super VL is an open, customizable multimodal AI model designed for complex reasoning, autonomous agents, and enterprise workflows. The model uses a 120-billion-parameter mixture-of-experts architecture that activates approximately 12 billion parameters per token to balance computational efficiency with model capabilities. It combines text, image, document, and video understanding with instruction following, coding, and external tool use. Its multimodal capabilities support document analysis, chart interpretation, optical character recognition, video understanding, and automated information extraction. Developers can customize the model through supervised fine-tuning, low-rank adaptation, and reinforcement learning using NVIDIA NeMo. Nemotron 3.5 Super VL supports deployment in local, cloud, and data center environments for applications such as software engineering, financial document processing, cybersecurity analysis, and enterprise automation.

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

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Businesses looking for a platform that provides a highly scalable language model that balance high performance with strong accuracy

Audience

AI developers, machine learning engineers, enterprise AI teams, software engineers, cybersecurity researchers, data scientists, financial technology companies, and organizations building customizable multimodal agents for document intelligence, coding, video analysis, and automated business workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • The agent performance is probably the biggest win. It is strong for coding, web research, document analysis, cybersecurity, and other multi-step tasks where the model has to understand what it is looking at and then actually do something with that information. I also really like the efficiency. NVIDIA says the 120B model only activates 12B parameters per token and can hit more than 600 output tokens per second in some agentic evaluations, which makes it much more practical for high-volume workflows than the headline model size suggests. The openness is another advantage. NVIDIA is releasing model checkpoints, datasets, training recipes, and customization tools through NeMo, so teams can adapt it to their own documents, policies, tools, and specialized workflows instead of depending entirely on a closed API.

Cons

  • This is not the model I would pick if I just wanted the easiest plug-and-play chatbot experience.

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cohere AI
Founded: 2019
Canada
cohere.com/command

Company Information

NVIDIA
Founded: 1993
United States
nvidia.com

Alternatives

Command A

Command A

Cohere AI

Alternatives

Command R+

Command R+

Cohere AI
Mistral Saba

Mistral Saba

Mistral AI
GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Kimi K2.5

Kimi K2.5

Moonshot AI

Categories

AI Models Supported
Foundation Models Supported

Categories

Integrations

Azure Marketplace Supported
BLACKBOX AI Supported
Bind AI Supported
Cohere Supported
MindMac Supported
NVIDIA NIM Not Supported
OpenRouter Not Supported
Symflower Supported
Wordware Supported
thisorthis.ai Supported
vLLM Not Supported

Integrations

Azure Marketplace Not Supported
BLACKBOX AI Not Supported
Bind AI Not Supported
Cohere Not Supported
MindMac Not Supported
NVIDIA NIM Supported
OpenRouter Supported
Symflower Not Supported
Wordware Not Supported
thisorthis.ai Not Supported
vLLM Supported
Claim Command R and update features and information
Claim Command R and update features and information
Claim Nemotron 3.5 Super VL and update features and information
Claim Nemotron 3.5 Super VL and update features and information