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.
GLM 5.2 vs GLM 5.3
Output tokens cost $2.76 per million on GLM 5.2 and $3.94 per million on GLM 5.3. Input tokens cost $0.79 per million on GLM 5.2 and $1.13 per million on GLM 5.3. Cached input tokens are billed at $0.20 per million on GLM 5.2 and $0.28 per million on GLM 5.3. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on GLM 5.2 and 1,000,000 tokens on GLM 5.3. Time to first token (TTFT) measured on AIHubMix is 0.7s on GLM 5.2 and 6.0s on GLM 5.3. Measured output throughput is 42.7 tok/s on GLM 5.2 and 30.6 tok/s on GLM 5.3.
GLM-5.3 is a coding and agentic reasoning model developed by Z.AI, designed for complex software engineering, long-horizon agent tasks, and vulnerability analysis. Built on GLM-5.2, it incorporates further post-training enhancements to improve coding capabilities, task execution, and token efficiency. The version currently available is an internal preview of GLM-5.3, with a TPM of approximately 1–2 million. As the model is still in testing, service stability is not guaranteed and it is not recommended for production use. We plan to add additional resources and capacity over the coming week to further improve availability and stability.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GLM 5.2, GLM 5.3?
GLM 5.2: $2.76/M output tokens; GLM 5.3: $3.94/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GLM 5.2 accepts 1,000,000 and GLM 5.3 accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GLM 5.3.
Which one generates tokens faster?
GLM 5.2 at 42.7 tok/s and GLM 5.3 at 30.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GLM 5.3 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call GLM 5.2 and GLM 5.3 with the same API key?
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.
Popular comparisons
Related model match-ups readers also look at.
