DeepSeek R1 vs. GPT-6.1 Sol Comparison


DeepSeek R1 DeepSeek	GPT-6.1 Sol 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-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.
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 Software developers, engineers, researchers, enterprises, AI application builders, professional knowledge workers, and agent developers that need advanced coding, reasoning, computer-use, scientific, document-analysis, and business-automation capabilities
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 $2 per 1M tokens (input) Input: $2 per 1 million tokens Output: $10 per 1 million tokens Cached Input: $0.10 per 1 million cached input 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 ease 5.0 / 5 features 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 biggest improvement for me is that it gets very close to Astra-level performance without Astra-level pricing. I can use it for serious coding, research, computer-use tasks, and long agent workflows without feeling like every run needs to be reserved for something mission-critical. The 1.05M-token context window is still a huge advantage. I can keep large repos, specs, logs, documentation, and a lot of prior agent work in context without constantly trimming things down. I also really like the new multi-agent support. Being able to let Sol delegate parts of a bigger task to subagents makes it much more useful for complicated projects where research, coding, testing, and analysis can happen in parallel. Cons The main downside is that Astra is still the model I would reach for when I absolutely want maximum capability and cost is secondary. Sol also no longer supports the none or minimal reasoning settings, so it is less suited to truly lightweight work than Luna.
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-6 Luna OpenAI
Phi-4-reasoning-plus Microsoft View All	GPT-6 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 EaseMate AI Supported GitHub Supported Go Supported HTML Supported JavaScript Supported Kotlin Supported Kubernetes Supported Microsoft Foundry Supported Microsoft Foundry Models Supported Python Supported R Supported Ruby Supported SQL Supported Scala Supported TypeScript Supported Show More Integrations View All 88 Integrations	Integrations Amazon Bedrock Supported Brokk Supported C Supported C# Supported C++ Supported EaseMate AI Supported GitHub Supported Go Supported HTML Supported JavaScript Supported Kotlin Supported Kubernetes Supported Microsoft Foundry Supported Microsoft Foundry Models Supported Python Supported R Supported Ruby Supported SQL Supported Scala Supported TypeScript Supported Show More Integrations View All 129 Integrations
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