DeepSeek R1 vs. Mathstral Comparison


DeepSeek R1 DeepSeek	Mathstral Mistral 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 As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.
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 Individuals focused on mathematical research looking for an AI tool to enhance their problem-solving capabilities
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support 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 Free Open source Free Version 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 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 Mistral AI Founded: 2023 France mistral.ai/news/mathstral/
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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 Models Supported Foundation Models Supported Large Language Models Supported

Integrations Amazon Bedrock Supported Groq Supported Pipeshift Supported AgentSea Supported CSS Supported Codestral Mamba Not Supported Diaflow Not Supported GenFlow 2.0 Supported LLMrefs Supported Lunary Not Supported Mistral Small Not Supported Noma Not Supported Oxlo.ai Supported Python Supported Rust Supported SQL Supported SSSModel Supported StepFun Supported TypeThink Supported iMini Supported Show More Integrations View All 88 Integrations	Integrations Amazon Bedrock Supported Groq Supported Pipeshift Supported AgentSea Not Supported CSS Not Supported Codestral Mamba Supported Diaflow Supported GenFlow 2.0 Not Supported LLMrefs Not Supported Lunary Supported Mistral Small Supported Noma Supported Oxlo.ai Not Supported Python Not Supported Rust Not Supported SQL Not Supported SSSModel Not Supported StepFun Not Supported TypeThink Not Supported iMini Not Supported Show More Integrations View All 86 Integrations
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