Europe’s largest private company just made open models its default for coding.
@Revolut: ~2,000 engineers, 1/10th the cost, 70% faster lead time.
Proud to be part of the infrastructure powering open models in production 🚀.
Revolut moves about 2,000 engineers to self-hosted GLM for coding
AIRevolut has made self-hosted GLM its default for coding for about 2,000 engineers, according to David Abitbol, who leads AI operations there. He says the setup runs on 56 Nvidia B200s at a blended 30 cents per million tokens, roughly one-tenth of what Revolut paid Anthropic and OpenAI, and that engineering lead time improved 70%.
AIWhy it matters.
The post links a cost and lead-time result to how often engineers used AI, showing a practical trade-off between self-hosted open models and frontier APIs.
@togethercompute
BREAKING: Revolut moved ~2,000 engineers onto self-hosted GLM for coding and pushed Claude Code and Codex to the exception list. Per David Abitbol, who leads AI ops there: 56 Nvidia B200s, a blended 30 cents per million tokens, roughly a tenth of what they paid Anthropic and OpenAI. Engineering lead time improved 70%. Here's the part that matters: the gains showed up when tokens stopped being rationed. Engineers quit saving AI for the hard tickets and pointed it at everything. Frontier models become the exception, open weights become the default. That's a pricing problem for every lab heading to IPO. h/t @OliverMolander Would you move your team off frontier APIs if the bill dropped 90%?
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Original title: Europe’s largest private company just made open models its default for coding.