DeepSeek R1

JSON twin: https://www.healthaidb.com/software/deepseek-r1.json

Company Name

DeepSeek

Product URL

https://www.deepseek.com/release

Company URL

https://www.deepseek.com

Categories

• ai Clinical Documentation Integrity
• clinical Decision Support
• software Development
• cloud-based Solutions
• enterprise Solutions
• health Data Analytics
• healthcare Technology
• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Open Source
• Cloud Computing
• Enterprise Software
• Developer Tools
• Data Science
• Technology

Summary

DeepSeek R1 is an advanced large language model developed by DeepSeek, offering high-performance AI capabilities with a focus on cost-effectiveness and open accessibility.

Description

DeepSeek R1 is a large language model (LLM) developed by DeepSeek, featuring 671 billion parameters and utilizing a mixture of experts (MoE) architecture. It is trained using reinforcement learning techniques, enabling it to perform complex tasks such as mathematical reasoning, coding, and natural language inference. The model is publicly available under the MIT License, promoting open access and community collaboration. DeepSeek R1 is accessible through various platforms, including Amazon Bedrock and NVIDIA NIM microservices, facilitating integration into diverse applications. Its cost-effective training and deployment strategies have set new benchmarks in the AI industry, challenging traditional models with its efficiency and performance. The model's open-source nature and transparent pricing further enhance its appeal to developers and organizations seeking advanced AI solutions.

Api Available

yes

Certifications

• Open-source model and technical report

Company Founding

2023

Company Offices

• China
• United States
• Germany
• India
• United Kingdom
• Canada
• France
• Australia
• Japan
• South Korea

Compliance

• MIT License

Customers

Data Residency

Global

Data Standards

• JSON

Deployment Model

• SaaS

Features

• Large-scale reinforcement learning in post-training
• Enhanced reasoning capabilities
• High performance in math, code, and reasoning tasks
• Open-source model and technical report
• API access with specified model settings
• Support for JSON output and function calling
• Reduced hallucination rates
• Improved front-end development capabilities

Id

SW2539

Integration Partners

Integrations

• DeepSeek API
• DeepSeek App
• DeepSeek Web Interface

Languages Supported

• English
• Chinese
• Spanish
• French
• German
• Italian
• Portuguese
• Russian
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Javanese
• Turkish
• Vietnamese
• Telugu
• Marathi
• Tamil

Last Updated

2025-10-11

License

MIT License

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• DeepThink mode
• Function Calling
• JSON Output

Os Platforms

• Web
• iOS
• Android

Pricing Details

Free to use under the MIT License; no charges for accessing or deploying the model.

Pricing Model

free

Privacy Features

• Data anonymization
• User consent management
• Data minimization

Product Code

SW2539

Product Name

DeepSeek R1

Ratings

• 4.1/5 (G2)

Regions Available

• United States
• China
• Europe
• Asia
• Africa
• Australia
• South America
• North America
• Global

Related Urls

Release Year

2025

Security Features

• Data encryption
• Access controls
• Audit logs

Specialties

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• Data Analysis
• Software Development
• Cloud Computing
• Open-source Software
• Reinforcement Learning
• Mixture Of Experts Architecture
• Large Language Models

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• developers
• data scientists
• researchers
• businesses
• educators
• students
• AI enthusiasts
• startups
• tech companies
• government agencies

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• The think feature man, it's actually really amazing in giving detailed responses to complex questions, this allows us to understand the thinking way of the AI which gives us a deeper understanding to the process.
• As an Android user, I feel DeepSeek has the best app interface. DeepSeek has higher accuracy and speed compared to other AI chatbot apps.
• That it's completely free to use. That I can use a thinking model for free. That there are no limits to messages.
• DeepSeek has brilliant accuracy and a lot of speed without any grammatical mistakes.
• I often get the message 'server is unavailable' and it doesn't address specific topics that are considered sensitive to follow Chinese rules. And that it stores data in China.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "DeepSeek R1",
  "company_name": "DeepSeek",
  "product_url": "https://www.deepseek.com/release",
  "company_url": "https://www.deepseek.com",
  "related_urls": [],
  "product_code": "SW2539",
  "summary": "DeepSeek R1 is an advanced large language model developed by DeepSeek, offering high-performance AI capabilities with a focus on cost-effectiveness and open accessibility.",
  "description": "DeepSeek R1 is a large language model (LLM) developed by DeepSeek, featuring 671 billion parameters and utilizing a mixture of experts (MoE) architecture. It is trained using reinforcement learning techniques, enabling it to perform complex tasks such as mathematical reasoning, coding, and natural language inference. The model is publicly available under the MIT License, promoting open access and community collaboration. DeepSeek R1 is accessible through various platforms, including Amazon Bedrock and NVIDIA NIM microservices, facilitating integration into diverse applications. Its cost-effective training and deployment strategies have set new benchmarks in the AI industry, challenging traditional models with its efficiency and performance. The model's open-source nature and transparent pricing further enhance its appeal to developers and organizations seeking advanced AI solutions.",
  "categories": [
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    "healthcare Technology",
    "Artificial Intelligence",
    "Machine Learning",
    "Natural Language Processing",
    "Open Source",
    "Cloud Computing",
    "Enterprise Software",
    "Developer Tools",
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    "Technology",
    "Software Development"
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  "market_segment": [
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    "consumer"
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  "target_users": [
    "developers",
    "data scientists",
    "researchers",
    "businesses",
    "educators",
    "students",
    "AI enthusiasts",
    "startups",
    "tech companies",
    "government agencies"
  ],
  "specialties": [
    "Natural Language Processing",
    "Machine Learning",
    "Artificial Intelligence",
    "Data Analysis",
    "Software Development",
    "Cloud Computing",
    "Open-source Software",
    "Reinforcement Learning",
    "Mixture Of Experts Architecture",
    "Large Language Models"
  ],
  "regions_available": [
    "United States",
    "China",
    "Europe",
    "Asia",
    "Africa",
    "Australia",
    "South America",
    "North America",
    "Global"
  ],
  "languages_supported": [
    "English",
    "Chinese",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Russian",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Javanese",
    "Turkish",
    "Vietnamese",
    "Telugu",
    "Marathi",
    "Tamil"
  ],
  "pricing_model": "free",
  "pricing_details": "Free to use under the MIT License; no charges for accessing or deploying the model.",
  "license": "MIT License",
  "company_offices": [
    "China",
    "United States",
    "Germany",
    "India",
    "United Kingdom",
    "Canada",
    "France",
    "Australia",
    "Japan",
    "South Korea"
  ],
  "company_founding": "2023",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Large-scale reinforcement learning in post-training",
    "Enhanced reasoning capabilities",
    "High performance in math, code, and reasoning tasks",
    "Open-source model and technical report",
    "API access with specified model settings",
    "Support for JSON output and function calling",
    "Reduced hallucination rates",
    "Improved front-end development capabilities"
  ],
  "optional_modules": [
    "DeepThink mode",
    "Function Calling",
    "JSON Output"
  ],
  "integrations": [
    "DeepSeek API",
    "DeepSeek App",
    "DeepSeek Web Interface"
  ],
  "data_standards": [
    "JSON"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "MIT License"
  ],
  "certifications": [
    "Open-source model and technical report"
  ],
  "security_features": [
    "Data encryption",
    "Access controls",
    "Audit logs"
  ],
  "privacy_features": [
    "Data anonymization",
    "User consent management",
    "Data minimization"
  ],
  "data_residency": "Global",
  "customers": [],
  "user_reviews": [
    "The think feature man, it's actually really amazing in giving detailed responses to complex questions, this allows us to understand the thinking way of the AI which gives us a deeper understanding to the process.",
    "As an Android user, I feel DeepSeek has the best app interface. DeepSeek has higher accuracy and speed compared to other AI chatbot apps.",
    "That it's completely free to use. That I can use a thinking model for free. That there are no limits to messages.",
    "DeepSeek has brilliant accuracy and a lot of speed without any grammatical mistakes.",
    "I often get the message 'server is unavailable' and it doesn't address specific topics that are considered sensitive to follow Chinese rules. And that it stores data in China."
  ],
  "ratings": [
    "4.1/5 (G2)"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2025",
  "integration_partners": [],
  "id": "SW2539",
  "slug": "deepseek-r1",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/deepseek-r1.json"
  }
}