Revolut Migrates About 2,000 Engineers to Self-Hosted GLM for Coding, Claude Code and Codex Become Exceptions

According to Guillermo Flor, relaying statements from Revolut AI operations lead David Abitbol, Revolut has migrated the coding work of about 2,000 engineers to self-hosted GLM and placed Claude Code and Codex on an exception list. Its configuration is 56 Nvidia B200 GPUs, with a blended cost of about 30 cents per million tokens, roughly one-tenth of what it previously paid Anthropic and OpenAI, and engineering delivery cycles improved by 70%. The author believes that once tokens were no longer rate-limited, engineers applied AI to all tasks, and that frontier models are becoming the exception while open weights become the default choice.