Compare Coding GLM 5.2 from Z.AI and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Coding GLM 5.2GLM 5.2Currently, the special resources for this model are limited, but due to its popularity, the usage is too high, which may result in a large number of 429 errors. Resources have been coordinated, and improvements are expected in the coming weeks, so please stay tuned. In the meantime, it is recommended to use the regular-priced API model, which can ensure absolute stability. The model ID is glm-5.2.
GLM-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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Coding GLM 5.2: $0.22/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Coding GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.
AIHubMix