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Maria Estilita Hernandez Alvarez

@mariaestilitahernandez

6 years ago
Photo by Maria Estilita Hernandez Alvarez on May 17, 2020.
Photo by Maria Estilita Hernandez Alvarez on May 17, 2020.
Photo by Maria Estilita Hernandez Alvarez on May 17, 2020.
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Posted On: May 17th 2020, 05:06 pm

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Revolut engineers were spending up to $10,000 a month on AI tools. Now the company says it has cut its AI coding costs by 90%. The fintech has moved much of its coding workload from Anthropic's Claude Code and OpenAI's Codex to GLM-5.3, an open AI model developed by Chinese company Z.ai. Instead of paying for access through external providers, Revolut runs the model on 56 NVIDIA B200 GPUs, serving around 2,000 engineers. According to Revolut's AI operations lead, the company now spends roughly $0.30 per million tokens, about one-tenth of what it previously spent on Anthropic and OpenAI. The company also reports a 60% improvement in coding time and a 70% improvement in the time needed to deliver software changes. Revolut still uses Claude Code, Codex and Gemini for certain tasks, but its own GLM system now handles much of the work. Safe to say this could become a nightmare situation for OpenAI and Anthropic if more companies start switching to Chinese AI models. What are your thoughts on this? 🤔💬
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