Revolut says self-hosted GLM models cut its AI coding inference costs by about 90%
This story is from 2026-11-03. It is preserved in the archive; the latest stories are on the live feed.
Revolut says it reduced AI coding inference costs by roughly 90% in under a year by making self-hosted GLM models its default over commercial tools like Claude Code, running on 56 Nvidia B200 GPUs at around $0.30 per million tokens for about 2,000 engineers.
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Timeline · 6 reports
- 2026-11-05 18:41 · DEV Community — AI
Claude Code Hooks: Automating Your AI Coding Workflow - 2026-11-04 21:16 · DEV Community — Machine Learning
Revolut cut its costs by 90% by leaving Claude's AI tools - 2026-11-04 15:30 · DEV Community — AI
Claude Code Hooks for Laravel: Don't Let the Agent Say "Done" Until the Checks Pass - 2026-11-04 07:07 · r/LocalLLaMA
Revolut sidelines Claude Code for a self-hosted Chinese model, says it pays 90% less - 2026-11-04 02:54 · DEV Community — AI
How Revolut Cut Its AI Coding Bill 90% by Self-Hosting an Open-Weight Model - 2026-11-03 21:50 · Techmeme
Revolut says it cut AI coding inference costs by ~90% in less than a year by making self-hosted GLM models its default over commercial tools like Claude Code