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Revolut says it cut AI coding inference costs by about 90% by self-hosting GLM models

Revolut replaced commercial tools like Claude Code with self-hosted open-weight GLM models running on 56 Nvidia B200 GPUs, cutting inference costs to roughly $0.30 per million tokens in under a year.

Read the full story at The Register AI/ML ↗

Timeline · 9 reports

  1. 2026-11-04 21:16 · DEV Community — Machine Learning
    Revolut cut its costs by 90% by leaving Claude's AI tools
  2. 2026-11-04 10:10 · TechRadar AI
    'We were highly skeptical about the cost of AI': Revolut reveals it cut AI coding costs by cutting out Claude entirely
  3. 2026-11-04 07:07 · r/LocalLLaMA
    Revolut sidelines Claude Code for a self-hosted Chinese model, says it pays 90% less
  4. 2026-11-04 02:54 · DEV Community — AI
    How Revolut Cut Its AI Coding Bill 90% by Self-Hosting an Open-Weight Model
  5. 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
  6. 2026-11-03 21:26 · r/singularity
    British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted
  7. 2026-11-03 21:05 · r/LocalLLaMA
    British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted
  8. 2026-11-03 20:07 · The Register AI/ML
    British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted
  9. 2026-11-03 11:37 · Analytics India Magazine
    Europe's Biggest Tech Startup Cuts AI Coding Costs by 90% Using Chinese Model

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