DMind
DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, ins，DMind-1 and DMind-1-mini are domain-specific large language models...
DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, ins，DMind-1 and DMind-1-mini are domain-specific large language models...
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DMind is a practical fit for buyers evaluating AI model, Development and Tools, and #open source tools.
- What is DMind?
- DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, ins，DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, instruction-following capability, and professional understanding than other general models. DMind-1 has been fine-tuned with expert-curated Web3 data and aligned through reinforcement learning and human feedback, making it suitable for complex instructions and multi-turn dialogues, applicable in areas such as blockchain, DeFi, and smart contracts. DMind-1-mini, as a lighter version, aims to meet real-time and resource-efficient application scenarios, particularly for proxy deployment and chain tools. Product pricing and specific information require further confirmation Target UsersThis product is especially suitable for blockchain developers, DeFi project teams, and enterprises/developers needing to handle smart contracts, as it focuses on the Web3 field and can provide accurate domain knowledge and support.Use CasesUse DMind-1 for code generation and verification of blockchain smart contracts.Quickly deploy automated trading proxies on DeFi platforms using DMind-1-mini.Utilize DMind for complex multi-turn dialogue interactions to provide user support and consulting services.FeaturesA domain-specific language model focusing on Web3 tasks, providing higher accuracy.Fine-tuning with expert-curated data to ensure output quality.Combination of reinforcement learning and human feedback to improve instruction-following capability.Supports multi-turn dialogues and complex instructions, suitable for practical applications.DMind-1-mini provides fast response and low latency, suitable for real-time applications.How to UseAccess the official website of DMind.Choose the appropriate model (DMind-1 or DMind-1-mini).Download and install the relevant models based on your needs.Call the API or command-line interface according to the provided documentation.Integrate the model into your Web3 project.
- Who is it for?
- Blockchain developers who need smart contract code generation and verification; better than general models like GPT-4 for Web3 domain accuracy because DMind is fine-tuned on expert-curated Web3 data.
- Pricing
- free
Product information
What this product does
DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, ins，DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, instruction-following capability, and professional understanding than other general models. DMind-1 has been fine-tuned with expert-curated Web3 data and aligned through reinforcement learning and human feedback, making it suitable for complex instructions and multi-turn dialogues, applicable in areas such as blockchain, DeFi, and smart contracts. DMind-1-mini, as a lighter version, aims to meet real-time and resource-efficient application scenarios, particularly for proxy deployment and chain tools. Product pricing and specific information require further confirmation Target UsersThis product is especially suitable for blockchain developers, DeFi project teams, and enterprises/developers needing to handle smart contracts, as it focuses on the Web3 field and can provide accurate domain knowledge and support.Use CasesUse DMind-1 for code generation and verification of blockchain smart contracts.Quickly deploy automated trading proxies on DeFi platforms using DMind-1-mini.Utilize DMind for complex multi-turn dialogue interactions to provide user support and consulting services.FeaturesA domain-specific language model focusing on Web3 tasks, providing higher accuracy.Fine-tuning with expert-curated data to ensure output quality.Combination of reinforcement learning and human feedback to improve instruction-following capability.Supports multi-turn dialogues and complex instructions, suitable for practical applications.DMind-1-mini provides fast response and low latency, suitable for real-time applications.How to UseAccess the official website of DMind.Choose the appropriate model (DMind-1 or DMind-1-mini).Download and install the relevant models based on your needs.Call the API or command-line interface according to the provided documentation.Integrate the model into your Web3 project.
Sourced from dmind.ai
Works With
Platforms
- Web
- API
- iOS
Problem Solved
What problem does DMind solve?
DMind is for developers, funds, and advanced agent ecosystems building on Web3. Today, cloud-centric AI assistants create privacy failures by exporting private intent, while purely local solutions lack global ecosystem awareness. DMind-3 addresses this with a sovereign Edge-Local-Cloud stack that uses policy-driven selective offloading to route computation based on privacy sensitivity and uncertainty. For example, a trader can run Nano as a deterministic intent firewall at the edge to secure a transaction, Mini on their own hardware for private strategy reasoning, and the DMind-3 cloud tier for global context synthesis without exporting private intent by default.
Company & Maker
Who built DMind?
- Company
- DMind
- Product
- DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, ins，DMind-1 and DMind-1-mini are domain-specific large language models for Web3 tasks, providing higher domain accuracy, instruction-following capability, and professional understanding than other general models. DMind-1 has been fine-tuned with expert-curated Web3 data and aligned through reinforcement learning and human feedback, making it suitable for complex instructions and multi-turn dialogues, applicable in areas such as blockchain, DeFi, and smart contracts. DMind-1-mini, as a lighter version, aims to meet real-time and resource-efficient application scenarios, particularly for proxy deployment and chain tools. Product pricing and specific information require further confirmation Target UsersThis product is especially suitable for blockchain developers, DeFi project teams, and enterprises/developers needing to handle smart contracts, as it focuses on the Web3 field and can provide accurate domain knowledge and support.Use CasesUse DMind-1 for code generation and verification of blockchain smart contracts.Quickly deploy automated trading proxies on DeFi platforms using DMind-1-mini.Utilize DMind for complex multi-turn dialogue interactions to provide user support and consulting services.FeaturesA domain-specific language model focusing on Web3 tasks, providing higher accuracy.Fine-tuning with expert-curated data to ensure output quality.Combination of reinforcement learning and human feedback to improve instruction-following capability.Supports multi-turn dialogues and complex instructions, suitable for practical applications.DMind-1-mini provides fast response and low latency, suitable for real-time applications.How to UseAccess the official website of DMind.Choose the appropriate model (DMind-1 or DMind-1-mini).Download and install the relevant models based on your needs.Call the API or command-line interface according to the provided documentation.Integrate the model into your Web3 project.
- Founded
- 2023
- Team size
- 11-50
- Live since
- Mar 2025
Some facts above are based on publicly available information and may have changed.
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DMind is a family of open-source, domain-specific large language models (DMind-3, DMind-2, DMind-1, DMind-1-mini) tuned for Web3 tasks such as smart contract generation, DeFi strategy reasoning, and blockchain domain Q&A. It is used by blockchain developers, DeFi teams, and agent builders who need Web3-accurate model outputs rather than general-purpose assistants.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Use DMind-1 for code generation and verification of blockchain smart contracts
- Quickly deploy automated trading proxies on DeFi platforms using DMind-1-mini
- Utilize DMind for complex multi-turn dialogue interactions to provide user support and consulting services
- Generates and verifies Solidity smart contract code from natural-language specifications using DMind-1.
- Deploys automated DeFi trading proxies with low-latency inference via DMind-1-mini.
- Routes privacy-sensitive transaction intents through a Nano intent firewall at the edge before cloud synthesis.
Pricing reality
Vendor stated
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Actual cost
Cost model is unclear — open-source weights imply self-hosting compute costs, while any cloud tier or API access pricing is not publicly documented.
Hidden costs
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Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
Free
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Engagement signals (30d)
Based on 6 linked public signals.
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Tracks 12-month Google search interest on a 0-100 relative interest scale.
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