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The first LLM that actually understands crypto
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Ihtesham Haider & Hasan Toor
May 23, 2025
Welcome, Prohumans.
In this post you are going to learn how a $0.30 model beats $10 giants on real crypto tasks.
Just happened in AI
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DMind-1 is the Web3-native AI that just redefined what a crypto LLM can do
Web3 finally has its own large language model. And it’s not just cheaper it’s smarter where it matters most.
Here’s everything you need to know:
DMind-1 is a 32B-parameter LLM fine-tuned on blockchain Q&A not general web data.
Built on top of Alibaba’s Qwen3-32B, it's optimized for Web3 tasks like DeFi, DAO ops, and tokenomics.
It outperforms other top-tier models on Web3 benchmarks while costing just 10% as much.
The smaller DMind-1-mini (14B) retains 95% of the main model’s skill, with better speed and efficiency.
Real-world tests show DMind-1 giving more accurate, faster answers than GPT-o3 at $0.30 vs. $10 per million tokens.
Unlike closed AI tools, DMind-1 is open-source and community-driven, with public benchmarks and a Discord for contributors.
Crypto has needed an LLM that actually gets crypto. DMind-1 might be it. Not just because it’s affordable but because it’s purpose-built, transparent, and genuinely useful. If AI is going to power Web3, it should probably speak its language. DMind-1 is the first model that really does.
Thanks for reading…
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