
Companies are balancing Western and Chinese AI models to optimize for cost and performance.
African businesses, including insurtech platform Curacel, are adopting a pragmatic approach to AI by integrating Chinese models alongside Western systems to benefit from lower costs and flexibility in high-volume tasks like coding and data extraction.
AI-generated summary
The US and China are competing for dominance in the global AI sector. African businesses are increasingly integrating diverse AI models to manage costs.
The United States may want the world to choose sides in the AI race with China, but in Africa, many businesses are pursuing a more pragmatic strategy: using Chinese models where they offer better value or flexibility, while keeping their options open.
For example, when African insurtech platform Curacel expanded the range of artificial intelligence (AI) models powering its internal infrastructure, it did not look only to Silicon Valley.
Henry Mascot, chief executive and co-founder of Curacel, said Chinese models delivered comparable results at lower cost on high-volume tasks such as coding, data extraction, classification and customer support, although Western systems remained stronger on the most demanding reasoning and reliability-sensitive work.
“In our experience, the leading Chinese models have closed much of the performance gap,” Mascot said.
He said Curacel’s multi-model set-up allowed it to use GLM-5.3 selectively.
“We can route suitable workloads to it based on quality and cost without moving the entire stack or locking ourselves into one vendor,” Mascot said. “We have also used lower-cost [Chinese] models within client deployments.”

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