Originally published on AI Tech Connect.
In the 12 days between 3 May and 14 May 2026, four frontier-class open-weight coding models dropped from Chinese AI labs: GLM-5.1 from Zhipu AI, MiniMax M2.7 from MiniMax, Kimi K2.6 from Moonshot AI, and DeepSeek V4 from DeepSeek. Each carries competitive coding benchmarks. Each is available under weights that can be self-hosted. And per the Air Street Press analysis circulated this week, inference on these models — whether via API or self-hosted — runs at under one-third the cost of Claude Opus 4.7 per token. That is a structural shift, not a product cycle blip. To understand why four major models appeared in 12 days, you need to understand what is happening to Chinese AI capital and competitive pressure simultaneously. To act on it, you need to understand the trade-offs each model…
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