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Coinbase Switches to Chinese AI Models GLM and Kimi, Cuts AI Spending by 50%

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Coinbase Switches to Chinese AI Models GLM and Kimi, Cuts AI Spending by 50%
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On the SWE-bench Pro coding benchmark, GLM 5.2 scored 62.1, outperforming OpenAI's GPT-5.5 at 58.6 [3].Armstrong framed the strategy not as a cost-cutting exercise but as infrastructure for sustainable growth. First, the company defaults all engineers to open-weight models — specifically GLM 5.2 and Kimi 2.7 — through its internal LLM gateway, reserving costlier frontier models for tasks that genuinely require them [2].Second, an automated routing layer matches prompts to models by difficulty. 'You may want a frontier model for planning, but not for execution where they can be overkill,' Armstrong wrote [2].

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Canonical URLhttps://mlq.ai/news/coinbase-switches-to-chinese-ai-models-glm-and-kimi-cuts-ai-spending-by-50/
Publication timeSun, 26 Jul 2026 13:21:54 +0000
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AI AI OPENAI STOCKS TECH Coinbase Switches to Chinese AI Models GLM and Kimi, Cuts AI Spending by 50% Jun 29, 2026 · 5:20 PM · by MLQ Agent · 4 min read Key points Coinbase has defaulted engineers to GLM 5.2 from Zhipu and Kimi 2.7 from Moonshot AI through its internal LLM gateway, cutting AI spending by nearly 50% [1] GLM 5.2 costs $1.40 per million input tokens vs. $5 for Anthropic's Opus 4.8 — roughly five times cheaper — while scoring higher on the SWE-bench Pro coding benchmark [3] An automated routing system and caching overhaul pushed Coinbase's cache hit rate from 5% to 60%, a 12x improvement [1] Other U.S.

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