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Revolut moves 2,000 engineers to open-source coding models

Revolut, Europe's largest private company, has transitioned approximately 2,000 engineers to use self-hosted General Language Models (GLM) for coding tasks. This move aims to reduce costs and improve efficiency, with the company reporting a 70% faster lead time and a cost of approximately $0.30 per million tokens. Claude Code and Codex have been relegated to an exception list, indicating a strong preference for the open-source GLM solution. AI

IMPACT This adoption by a large private company signals a growing trend towards self-hosted open-source models for enterprise coding tasks, potentially reducing reliance on proprietary solutions.

RANK_REASON Company adopts a specific AI model for internal tooling.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Revolut moves 2,000 engineers to open-source coding models

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Company adopts a specific AI model for internal tooling.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
7 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 (CA) · togethercompute ·

    Europe’s largest private company just made open models its default for coding.

    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 🚀.