Revolut cuts AI coding inference costs ~90% in under a year by defaulting to self‑hosted GLM models over tools like Claude Code
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| Source: Techmeme | Original article
Revolut claims it reduced AI coding inference expenses by about 90% within a year by switching to self‑hosted GLM models instead of commercial services such as Claude Code.
Revolut has announced a dramatic reduction in the cost of AI‑driven code generation, slashing inference spend by roughly 90 % in under a year. The fintech achieved the cut by moving away from commercial services such as Claude Code and deploying its own instance of the open‑weight GLM‑5.3 model on a farm of 56 Nvidia B200 GPUs. According to David Abitbol, the company’s ops and infrastructure lead, the self‑hosted setup now runs at about $0.30 per million tokens, compared with the $1 000‑$10 000 per‑engineer monthly fees that commercial seats previously required.
The shift also delivered a 60 % drop in coding time for Revolut’s 2 000 engineers, according to Abitbol’s remarks at the AI Engineer conference in New York. The savings translate into a tangible financial impact for a bank serving 45 million customers, while giving the firm tighter control over data and model tuning.
Why it matters is twofold. First, the cost advantage demonstrates that large‑scale fintechs can viably replace expensive SaaS AI tools with self‑hosted open models, a move that could reshape budgeting for AI‑assisted development across the sector. Second, the deployment of a Chinese‑origin model under EU regulations highlights a growing confidence in navigating compliance while leveraging non‑Western AI assets.
Looking ahead, observers will watch whether other financial institutions follow Revolut’s lead, how the performance of GLM‑5.3 stacks up against proprietary alternatives in production, and whether regulatory bodies place new constraints on the use of open‑weight models from outside the EU. The fintech’s experience may become a benchmark for cost‑effective, in‑house AI ops in the broader European tech landscape.
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