Small AI Model Matches Claude Opus 4.5 Performance

Meta researchers have trained an 8 billion parameter AI model to perform on par with Anthropic's Claude Opus 4.5, typically a frontier-tier system, at a fraction of the cost. The breakthrough centers on how AI agents handle complex enterprise workflows using a runtime layer called a harness. This harness provides execution feedback, state tracking, and error recovery tools that guide agents through long-running tasks like migrating customer records between databases. Rather than relying solely on human-written instructions, the approach enables smaller models to manage dynamic, multi-step workflows with frontier-level effectiveness.