DeepSeek R1 vs. GPT-6 Luna Comparison


DeepSeek R1 DeepSeek	GPT-6 Luna OpenAI	+	+
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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 GPT-6 Luna is OpenAI’s cost-efficient GPT-6 model designed for everyday professional work, coding, computer use, and agentic applications at scale. It brings many of the advances introduced with GPT-6 Astra to a faster and substantially lower-cost model while improving on GPT-5.6 Luna in capability and factual reliability. The model supports adjustable reasoning effort, allowing applications to spend more compute on harder tasks and less on simpler requests. GPT-6 Luna can handle software engineering, multi-step business workflows, computer interaction, and other tool-using tasks that benefit from low operating cost. Improved GPT-6 prompt caching helps long-running agents reuse more context, respond faster, and reduce the cost of repeated input. GPT-6 Luna is available in ChatGPT Work, Codex, the ChatGPT desktop app for Free and Go users, and the OpenAI API as gpt-6-luna.
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 Not Supported Cloud Supported On-Premises Not 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 Developers, startups, AI agent builders, software teams, businesses, and high-volume applications that need capable coding, reasoning, computer use, and automation at a low operating cost
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 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 $0.10 per 1M tokens (input) Input: $0.10 per 1 million tokens Output: $0.50 per 1 million tokens Free Version Not 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 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 At $0.10 per million input tokens and $0.50 per million output tokens, I can run it across a lot of everyday coding, automation, classification, extraction, and agent steps without constantly thinking about cost. The 1.05M-token context window is almost ridiculous at this price. I can give it large repos, long docs, logs, and plenty of agent history without immediately hitting context limits. I also like that Luna still gets the full tool stack. Web search, files, code execution, shell access, computer use, MCP, and function calling are all supported, so it is not just a stripped-down cheap model. Cons The tradeoff is raw capability. For difficult architecture work, deep debugging, or long-horizon tasks where mistakes are expensive, I would still move up to GPT-6 Sol or Astra.
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 OpenAI Founded: 2015 United States openai.com
Alternatives Claude Sonnet 3.5 Anthropic	Alternatives Gemini 4 Argon Google
Claude Sonnet 3.7 Anthropic	Claude Sonnet 5.5 Anthropic
Claude Sonnet 4 Anthropic	Claude Fable 5.1 Anthropic
DeepSeek R2 DeepSeek	GPT-5.6 Luna OpenAI
Phi-4-reasoning-plus Microsoft View All	GPT-6.1 Sol OpenAI 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	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported

Integrations Amazon Bedrock Supported Brokk Supported C Supported C# Supported C++ Supported Devin Desktop Supported EaseMate AI Supported Gemini Enterprise Agent Platform Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported Kubernetes Supported Microsoft Foundry Supported Python Supported R Supported SQL Supported Scala Supported Simtheory Supported Show More Integrations View All 88 Integrations	Integrations Amazon Bedrock Supported Brokk Supported C Supported C# Supported C++ Supported Devin Desktop Supported EaseMate AI Supported Gemini Enterprise Agent Platform Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported Kubernetes Supported Microsoft Foundry Supported Python Supported R Supported SQL Supported Scala Supported Simtheory Supported Show More Integrations View All 129 Integrations
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