GLM 5.2 vs Qwen2.5 VL 72B
Z.ai's frontier reasoning model for long-context agents and software engineering.
Large 72B vision-language model from Qwen 2.5 generation.
No captured outputs for these models yet.
Frequently Asked Questions: GLM 5.2 vs Qwen2.5 VL 72B▼
Which is better, GLM 5.2 or Qwen2.5 VL 72B?
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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, GLM 5.2 or Qwen2.5 VL 72B?
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Qwen2.5 VL 72B has a lower blended cost. GLM 5.2: $1.40 input / $4.40 output. Qwen2.5 VL 72B: $0.80 input / $1.00 output.
Which has a larger context window, GLM 5.2 or Qwen2.5 VL 72B?
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GLM 5.2 has a larger context window: GLM 5.2 supports 262K tokens vs Qwen2.5 VL 72B at 128K tokens.
Do both GLM 5.2 and Qwen2.5 VL 72B 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 GLM 5.2 and Qwen2.5 VL 72B?
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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 GLM 5.2 and Qwen2.5 VL 72B for free on idapt.app to see which performs better for your specific needs.