Compare Coding GLM 5.2 from Z.AI and Coding GLM 5.3 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 5.2Coding GLM 5.3Currently, 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-5.3 is Z.ai’s reasoning model for coding and agentic workflows, designed for complex software engineering, long-running agents, and vulnerability analysis. It uses the same base model as GLM-5.2, with scaled post-training improving coding, task execution, and token efficiency. This model is a limited-time preview version of GLM-5.3, intended for testing and evaluation only. Service stability is not guaranteed, and we do not recommend using it in production environments. We’re waiting for the official commercial API release and will integrate it as soon as official support becomes available.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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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.
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Coding GLM 5.2: $0.22/M output tokens; Coding GLM 5.3: $0.22/M. Use the cost calculator above to estimate your own workload.
Coding GLM 5.3: 5.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Coding GLM 5.2 accepts 1,000,000 and Coding GLM 5.3 accepts 1,048,576 input tokens. Maximum output per request is 131,072 tokens on Coding GLM 5.2 and 131,072 tokens on Coding GLM 5.3.
Coding GLM 5.2 at 53.1 tok/s and Coding GLM 5.3 at 37.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Coding GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Coding GLM 5.3 accepts text input and supports thinking, tool calling, function calling and structured outputs.
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