Revolut details its AI coding stack: per-token billing plus 4-bit weights and 90%+ cache hits

ccerrato147 · x · 2026-11-05

Fintech firm Revolut is one of the few companies still paying for Codex, Claude Code and Gemini. David Abitbol laid out the strategy at AI Engineer (Oct 29): pay nothing for the default, pay per token only for the exceptions.

The quoted post details the engineering: none of it came out of the box. On the same 56 GPUs, time-to-first-token dropped from over 10 seconds in April to 1.6 by August while serving more than twice the traffic. Tactics included capping context at 256K tokens, running weights at 4 bits, and tuning for cache hit rates above 90%.

Related event: Revolut moves 2,000 engineers to self-hosted GLM, cutting AI coding costs ~90%(10 posts)→

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