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 O3 Pro
Output tokens cost $3.94 per million on GLM 5.2 and $80.00 per million on O3 Pro. Input tokens cost $1.13 per million on GLM 5.2 and $20.00 per million on O3 Pro. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $20.00 per million on O3 Pro. Context lengths are 1,000,000 tokens on GLM 5.2 and 200,000 tokens on O3 Pro. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 88.9s on O3 Pro. Measured output throughput is 46.0 tok/s on GLM 5.2 and 12.6 tok/s on O3 Pro.
GLM 5.2o3-pro This model only supports Requests API interface requests.The model's thinking time is relatively long, so the response will be slow.
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, O3 Pro?
GLM 5.2: $3.94/M output tokens; O3 Pro: $80.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 0.6s 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 O3 Pro accepts 200,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 100,000 tokens on O3 Pro.
Which one generates tokens faster?
GLM 5.2 at 46.0 tok/s and O3 Pro at 12.6 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; O3 Pro accepts text and image input and supports thinking, tool calling, function calling and structured outputs.
Can I call GLM 5.2 and O3 Pro 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.
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