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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.
Kimi K2, trained for $4.6 million, outperforms GPT-5 and Claude Opus 4.7 on coding benchmarks, with a detailed breakdown from its founder.
By pairing Qwen3.6-35B with the little-coder agent scaffold, the model hits 78.7% on the Polyglot coding benchmark, placing in the public top 10 and rivaling cloud models.