DeepSeek R1 vs. Kimi K3.1 Pro Comparison


DeepSeek R1 DeepSeek	Kimi K3.1 Pro Moonshot AI	+	+
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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 Kimi K3.1 Pro is a multimodal large language model developed by Moonshot AI for advanced reasoning, software development, 3D modeling, financial analysis, and autonomous AI agent workflows. The model uses a mixture-of-experts architecture with approximately 2.8 trillion total parameters and 104 billion active parameters, supporting a context window of one million tokens. Its coding capabilities include debugging existing applications, generating complete software projects, developing interactive websites, and creating applications with game engines. Kimi K3.1 Pro can analyze images, interpret spatial relationships, generate CAD scripts, and create three-dimensional assets from text descriptions or visual references. Its reasoning and tool-use capabilities support financial modeling, investment research, document analysis, and multistep business workflows. The model is available through Kimi's web and mobile applications, Kimi Work, Kimi Code, and the Kimi API, with a Highspeed variant.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Supported iPad Supported Android Supported Chromebook Supported	Platforms Supported Windows Supported Mac 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 Software developers, AI engineers, researchers, financial analysts, and teams building applications or agentic workflows with AI models.
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 API usage is pay-as-you-go: $2 per million input tokens and $10 per million output tokens. Cached input is $0.20 per million tokens; cache writes are $2 per million tokens. Kimi Code also provides tier-based membership access, with quotas and context limits depending on the tier. 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 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 I can give it a large coding job, a research project, or a multi-step agent workflow and it does a much better job staying organized all the way through. Coding is probably the biggest jump. Moonshot reports a 65.7% score on Terminal-Bench 4.0, ahead of GPT-6 Astra’s reported 58.2% and just behind Claude Opus 5.5 at 66.4%. It feels especially good for terminal work, repo-level changes, and tasks where the agent has to keep using tools for a while. The 1M-token context window is also genuinely useful. I can keep a huge amount of source code, documentation, financial material, screenshots, and prior work in context without constantly trimming things down. Cons The main downside is that the full weights are not available yet. Moonshot says they will be released soon, so the open-weight story is promising, but I would wait for that release before judging local deployment and customization.
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 Moonshot AI Founded: 2023 China www.kimi.ai/
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	Kimi K2 Moonshot AI
GLM-5 Z.ai View All	Kimi K3 Moonshot AI 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 Open-Weight AI Models Supported

Integrations Brokk Supported C Supported C++ Supported CSS Supported EaseMate AI Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported Nebius Token Factory Supported Ollama Supported Python Supported R Supported Ruby Supported Rust Supported SQL Supported Scala Supported SiliconFlow Supported TypeScript Supported Show More Integrations View All 88 Integrations	Integrations Brokk Supported C Supported C++ Supported CSS Supported EaseMate AI Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported Nebius Token Factory Supported Ollama Supported Python Supported R Supported Ruby Supported Rust Supported SQL Supported Scala Supported SiliconFlow Supported TypeScript Supported Show More Integrations View All 85 Integrations
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