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Domestic Chinese LLMs Too Expensive for Heavy Users: Per-Token Cost Advantage Vanishes When Real Development Workflows Reach Tens of Billions of Tokens Daily

TL;DR AI

Key summary

2 min read
  1. Chinese LLMs may look cheaper on paper, but at massive coding volumes the daily bill can still reach thousands of yuan.

  2. By contrast, bundled subscription plans like GPT Codex and Claude keep heavy-user costs much lower with near-unlimited pricing.

  3. Products such as GLM-5.2, Alibaba Qoder, and Kimi Code lack affordable unlimited-style tiers, and some quotas sell out fast.

  4. Chinese providers say compute and inference constraints make it hard to offer cheaper flat-rate plans at scale.

  5. The pricing gap is shaping developer choice, market share, and whether Chinese vendors can win premium high-volume coding users.

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