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1 / 4Revolut says self-hosted GLM cut its AI coding bill by about 90%×

The saving

Revolut made Z.ai's open GLM models its default for about 2,000 engineers and cut coding inference costs by roughly 90% in under a year, infrastructure lead David Abitbol told the AI Engineer conference in New York. He put self-hosted GLM-5.1 at $0.30 per million tokens, about a tenth of Codex or Claude Code.

The setup

Revolut now serves GLM-5.3 on 56 Nvidia B200 GPUs and routes vision work to Gemini or GPT.

The China question

On the Chinese origin, Abitbol said the main concern is reaching the models through third-party APIs, and that on-premises or regional deployments carry little risk.

What it bought

The savings let Revolut stop rationing tokens, and he said the biggest gains came from debugging and ticket work. All figures are Revolut's.

Sources and the full story

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Revolut says self-hosted GLM cut its AI coding bill by about 90%

Revolut made Z.ai's open GLM models its default for about 2,000 engineers and cut coding inference costs by roughly 90% in under a year, infrastructure lead David Abitbol told the AI Engineer conference in New York. He put self-hosted GLM-5.1 at $0.30 per million tokens, about a tenth of Codex or Claude Code. Revolut now serves GLM-5.3 on 56 Nvidia B200 GPUs and routes vision work to Gemini or GPT. On the Chinese origin, Abitbol said the main concern is reaching the models through third-party APIs, and that on-premises or regional deployments carry little risk. The savings let Revolut stop rationing tokens, and he said the biggest gains came from debugging and ticket work. All figures are Revolut's. SourcesB

Sources

• BBritish fintech Revolut slashes AI coding costs 10x (The Register)theregister.com

This story ran in the Afternoon Brief of November 3rd 2026.