According to DeepLearning.AI, independent lab Artificial Analysis reported that benchmarking OpenAI o1 on seven major chain-of-thought reasoning tests required 44 million tokens and cost $2,767 (source: DeepLearning.AI, June 18, 2025). This sharp rise in evaluation expenses is making it increasingly difficult for resource-constrained researchers to compete, which may slow the pace of open AI advancements and limit participation in crypto-related AI innovation. For crypto traders, rising AI model costs could restrict the development of decentralized AI protocols and increase barriers for new AI-powered blockchain projects, potentially impacting future token valuations and adoption.

According to DeepLearning.AI, the new model DeepSeek-R1 utilizes a chain-of-thought methodology to produce responses that compete closely with OpenAI's o1 model, but at significantly lower costs. This development could impact trading strategies involving AI technology companies, as cost efficiency may lead to shifts in market valuations and competitive landscape. Detailed insights into its architecture and training were shared by DeepLearning.AI, highlighting potential areas for investment and market impact.