Coinbase’s AI Experiment Challenges the Need for Bigger Models

Coinbase has developed a specialized artificial intelligence model that outperformed Anthropic’s Claude Opus 4.5 in internal fraud-detection tests, strengthening the case for smaller AI systems trained on proprietary financial data. The cryptocurrency exchange customized Alibaba’s open-weight Qwen3.5-9B model to assess transaction risk within Coinbase Onramp, its service for purchasing cryptocurrency through third-party applications. The results, published in an October 8 engineering report, showed improvements in fraud identification and request-processing speed. Coinbase CEO Brian Armstrong recently highlighted the research in X , suggesting that companies could increasingly deploy specialized models instead of relying exclusively on large general-purpose AI systems.