DMind.ai is an open-source AGI research lab aiming to create a robust, transparent AI infrastructure for digital finance, starting with Web3, which includes cryptocurrency, DeFi, and real-world asset tokenization. The goal is to create open AI models, benchmarks, and datasets rooted in deep, expert-curated knowledge, supported by a global open-source community. The goal is to empower developers, builders, and researchers across the digital financial ecosystem by sharing tools and research. DMind-1. Fully open-source and built on the robust Qwen3-32B model, DMind-1 is fine-tuned specifically for the nuanced world of Web3: Expert-Level Understanding: DMind-1 excels at complex crypto topics such as DeFi protocols, tokenomics, smart contracts, and strategic investment planning. Enhanced Accuracy and Reasoning: It demonstrates significant improvements in Web3 task accuracy, expert-level reasoning, and provides reliable, precise interactions. Cost-Effective Excellence: Impressively, DMind-1 outperforms larger, general-purpose, general-purpose models on Web3-specific tasks—all at just 10-30% of their token cost. DMind.ai also launched the “DMind Web3 Benchmark,” the first comprehensive evaluation standard designed exclusively for Web3-specific reasoning and domain expertise. The benchmark quickly made waves, skyrocketing to the #1 spot on Huggingface’s dataset rankings shortly after release. This open-source evaluation suite contains thousands of expert-reviewed questions spanning nine core areas – from blockchain fundamentals and infrastructure to DeFi, NFTs, DAOs, token economics, security, and more. The benchmark provides precise domain-level scoring, empowering precise model comparisons and fostering deeper community insights.