Compare GLM 5.2 from Z.AI and moonshotai/Kimi-Dev-72B from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GLM 5.2
moonshotai/Kimi-Dev-72BGLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Kimi-Dev-72B is a new generation open-source programming large model that achieved a leading performance of 60.4% on SWE-bench Verified. Through large-scale reinforcement learning optimization, it can automatically fix code in real Docker environments, receiving rewards only when passing the complete test suite, thereby ensuring the correctness and robustness of solutions and aligning more closely with real software development standards.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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moonshotai/Kimi-Dev-72B: $1.28/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
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