DeepSeek R1 vs. MiniMax M2 Comparison


DeepSeek R1 DeepSeek	MiniMax M2 MiniMax	+	+
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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 MiniMax M2 is an open source foundation model built specifically for agentic applications and coding workflows, striking a new balance of performance, speed, and cost. It excels in end-to-end development scenarios, handling programming, tool-calling, and complex, long-chain workflows with capabilities such as Python integration, while delivering inference speeds of around 100 tokens per second and offering API pricing at just ~8% of the cost of comparable proprietary models. The model supports “Lightning Mode” for high-speed, lightweight agent tasks, and “Pro Mode” for in-depth full-stack development, report generation, and web-based tool orchestration; its weights are fully open source and available for local deployment with vLLM or SGLang. MiniMax M2 positions itself as a production-ready model that enables agents to complete independent tasks, such as data analysis, programming, tool orchestration, and large-scale multi-step logic at real organizational scale.
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 engineering teams, AI practitioners and developer-led organizations requiring a tool offering a model optimized for agent workflows and full-stack coding tasks
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 $0.30 per million input tokens Free Version Supported Free Trial 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 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
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.
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 MiniMax Founded: 2021 Singapore www.minimax.io/news/minimax-m2
Alternatives Claude Sonnet 3.5 Anthropic	Alternatives Amazon Nova 2 Pro Amazon
Claude Sonnet 3.7 Anthropic	Devstral 2 Mistral AI
Claude Sonnet 4 Anthropic	Devstral Small 2 Mistral AI
Phi-4-reasoning-plus Microsoft	MiniMax M3 MiniMax
GLM-5 Z.ai View All	MiniMax M2.5 MiniMax 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 Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported

Integrations DeepSeek Supported Python Supported AgentSea Supported Amazon Bedrock Supported C# Supported Database Mart Supported Devin Desktop Supported F# Supported Gemini Enterprise Agent Platform Supported GlobalGPT Supported GrimoAI Supported Intel Tiber AI Cloud Supported Microsoft Foundry Supported Mirai Supported OpenAI Not Supported Oxlo.ai Supported Scala Supported SecondBrain Supported Snowflake Supported Tinfoil Supported Show More Integrations View All 88 Integrations	Integrations DeepSeek Supported Python Supported AgentSea Not Supported Amazon Bedrock Not Supported C# Not Supported Database Mart Not Supported Devin Desktop Not Supported F# Not Supported Gemini Enterprise Agent Platform Not Supported GlobalGPT Not Supported GrimoAI Not Supported Intel Tiber AI Cloud Not Supported Microsoft Foundry Not Supported Mirai Not Supported OpenAI Supported Oxlo.ai Not Supported Scala Not Supported SecondBrain Not Supported Snowflake Not Supported Tinfoil Not Supported Show More Integrations View All 9 Integrations
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