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This article tests four open-source Chinese AI models — Zhipu GLM 5.1, Moonshot Kimi K2.6, Stepfun MIMO 2.5 Pro, and DeepSeek V4 Pro — on programming tasks. It finds that GLM leads overall in most tasks but not absolutely; each model has its own strengths and weaknesses.
The author conducted a comparative evaluation of four domestic AI models: DeepSeek V4, Kimi K2.6, GLM-5.1, and MiniMax M2.7. The analysis covers their strengths and weaknesses regarding cost, long-context processing, coding stability, and reasoning performance, offering specific recommendations on how to route tasks involving large document analysis, long-running background jobs, and bulk content generation.
A new 18B merged quantized model, Qwopus-GLM-18B-GGUF, outperforms 35B MoE models while using half the VRAM and running on consumer GPUs.