DeepSeek R1 vs. Nemotron 3.5 Super VL Comparison


DeepSeek R1 DeepSeek	Nemotron 3.5 Super VL NVIDIA	+	+
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About DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.	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 Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Supported iPad Supported Android Supported Chromebook 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 Researchers, developers, and organizations seeking advanced, open-source reasoning models for complex tasks like mathematics, programming, and AI-driven problem-solving	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 Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros DeepSeek-R1 is a remarkable AI model that has significantly enhanced my data analysis tasks. Its open-source nature allows for extensive customization, making it adaptable to various project needs. The model's performance is on par with leading AI models, yet it operates at a fraction of the cost, which is a substantial advantage. Additionally, DeepSeek-R1's integration capabilities with web, app, and API platforms provide flexibility in deployment across different environments. Cons Haven't found any cons yet. This model is so capable.	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 DeepSeek Founded: 2023 China www.deepseek.com	Company Information NVIDIA Founded: 1993 United States nvidia.com
Alternatives Claude Sonnet 3.5 Anthropic	Alternatives Gemini 4 Carbon Google
Claude Sonnet 3.7 Anthropic	GPT-6.1 Terra OpenAI
Claude Sonnet 4 Anthropic	GPT-6.1 Sol OpenAI
Phi-4-reasoning-plus Microsoft	Nemotron 3.5 Bolt NVIDIA
GLM-5 Z.ai View All	Nemotron 3 Super NVIDIA View All
Categories Agentic AI Supported AI Agents Supported AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations Amazon EKS Supported Anara Supported BLACKBOX AI Supported Baseten Supported Bind AI Supported Chat Stream Supported Decompute Blackbird Supported Elixir Supported Forge Code Supported GlobalGPT Supported Java Supported R Supported Ruby Supported Sesterce Supported Simtheory Supported Snowflake Cortex AI Supported Surf.new Supported TypeScript Supported Visual Basic Supported iMini Supported Show More Integrations View All 88 Integrations	Integrations Amazon EKS Not Supported Anara Not Supported BLACKBOX AI Not Supported Baseten Not Supported Bind AI Not Supported Chat Stream Not Supported Decompute Blackbird Not Supported Elixir Not Supported Forge Code Not Supported GlobalGPT Not Supported Java Not Supported R Not Supported Ruby Not Supported Sesterce Not Supported Simtheory Not Supported Snowflake Cortex AI Not Supported Surf.new Not Supported TypeScript Not Supported Visual Basic Not Supported iMini Not Supported Show More Integrations View All 3 Integrations
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