Revolut’s AI cost reduction hits 90% with Chinese GLM models

Revolut has achieved a 90% reduction in AI costs by shifting from commercial OpenAI and Anthropic services to Chinese GLM models running on dedicated infrastructure, according to David Abitbol, its head of AI operations. The setup serves about 2,000 engineers—and the reported savings came alongside faster responses and shorter development times. Key takeaways Revolut runs GLM 5.3 using 56 NVIDIA B200 GPUs. Average processing costs stand at $0.30 per million tokens. Initial response latency fell 88% without adding GPUs. Internally managed models operate with access controls and activity tracking. How Revolut achieved its AI cost reduction Revolut’s configuration centers on GLM 5.3 , developed by the Chinese team Z.ai, formerly Zhipu AI.

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