Output tokens cost $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $3.94 per million on GLM 5.2. Input tokens cost $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $0.28 per million on GLM 5.2.
Qwen/Qwen2.5-VL-32B-Instruct
GLM 5.2Qwen2.5-VL-32B-Instruct is an advanced multimodal model from the Tongyi Qianwen team that can recognize objects, analyze text and graphics in images, operate tools, locate objects in images, and generate structured outputs. Through reinforcement learning, it has improved mathematics and problem-solving capabilities, with a more concise and natural response style.
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.
Qwen/Qwen2.5-VL-32B-Instruct: $0.24/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Qwen/Qwen2.5-VL-32B-Instruct accepts text, image and video input and supports 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.
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