Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

MarkTechPost · 2 months ago · 46 ● 7 sources

Three Chinese AI labs released large open-weight Mixture-of-Experts models: Moonshot AI's Kimi K3 (2.8 trillion parameters), DeepSeek V4 Pro (1.6 trillion), and Zhipu AI's GLM-5.2 (744 billion). Kimi K3 scores 57 on the Artificial Analysis Intelligence Index and ranks third overall, while DeepSeek V4 Pro costs $0.04 per task and has weights available immediately under MIT license, whereas K3 remains API-only until July 27, 2026. Teams choosing models must trade off capability, cost (ranging from $0.18 to $3.00 per million input tokens), and availability of downloadable weights for self-hosting.