Meta's compact 8B model rivals top-tier AI at a fraction of the cost

Meta researchers have developed an 8-billion-parameter AI model that achieves performance comparable to Anthropic's Claude Opus 4.5, but without the high computational expense. The model relies on a runtime harness that supplies execution feedback, state tracking, and control-flow mechanisms to handle complex, multi-step enterprise tasks like large-scale data migration. This approach allows the smaller model to maintain accuracy over long-running workflows that exceed its internal context window.