Qwen2.5 VL 72B vs GLM 5.2
Large 72B vision-language model from Qwen 2.5 generation.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: Qwen2.5 VL 72B vs GLM 5.2▼
Which is better, Qwen2.5 VL 72B or GLM 5.2?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 62.8). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Qwen2.5 VL 72B or GLM 5.2?
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Qwen2.5 VL 72B has a lower blended cost. Qwen2.5 VL 72B: $0.80 input / $1.00 output. GLM 5.2: $1.40 input / $4.40 output.
Which has a larger context window, Qwen2.5 VL 72B or GLM 5.2?
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GLM 5.2 has a larger context window: Qwen2.5 VL 72B supports 128K tokens vs GLM 5.2 at 262K tokens.
Do both Qwen2.5 VL 72B and GLM 5.2 support vision?
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Qwen2.5 VL 72B supports vision/image input, but GLM 5.2 does not.
What are the key differences between Qwen2.5 VL 72B and GLM 5.2?
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Key differences: GLM 5.2 has a notably higher capability index (20.6 point gap); only Qwen2.5 VL 72B supports vision input; only GLM 5.2 offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Qwen2.5 VL 72B and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.