Revolut Adopts Zhipu GLM for Its Engineering Team, Reduces AI Costs to One-Tenth

Huoxing Finance reports that Revolut, Europe’s most valuable fintech unicorn, has made Zhipu’s GLM the default AI coding model for approximately 2,000 engineers, relegating tools like Claude Code and Codex to secondary status, reserved primarily for complex tasks. David Abitbol, Head of AI Operations at Revolut, revealed that the company previously allocated each engineer a monthly budget of $300 for Claude Code, but saw limited overall efficiency gains. In April this year, Revolut began deploying GLM internally and opened unlimited token access to its engineers. Currently, Revolut runs GLM 5.3 on approximately 56 NVIDIA B200 GPUs, with an estimated combined cost of about $0.30 per million tokens—just one-tenth of the previous expenses incurred when using Anthropic and OpenAI. Internal metrics show a 60% improvement in coding time and a 70% improvement in the cycle time from task assignment to delivery. Previously, with limited tokens, engineers tended to reserve their allocation for complex tasks; now that usage is unrestricted, they are extensively using AI to search internal documentation, process Jira tickets, and locate requirement specifications in Slack.