Output tokens cost $3.94 per million on GLM 5.2 and $7.20 per million on Qwen2.5 VL 72B Instruct. Input tokens cost $1.13 per million on GLM 5.2 and $2.40 per million on Qwen2.5 VL 72B Instruct. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $2.40 per million on Qwen2.5 VL 72B Instruct.
GLM 5.2
Qwen2.5 VL 72B InstructGLM-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.
Strong capability in Chinese domain recognition, comparable to ChatGPT-4.0.
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.
GLM 5.2: $3.94/M output tokens; Qwen2.5 VL 72B Instruct: $7.20/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen2.5 VL 72B Instruct accepts text and image input.
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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