GLM 5.2 vs DeepSeek V3.2 Exp
Z.ai's frontier reasoning model for long-context agents and software engineering.
Experimental DeepSeek V3.2 variant with DeepSeek Sparse Attention.
No captured outputs for these models yet.
Frequently Asked Questions: GLM 5.2 vs DeepSeek V3.2 Exp▼
Which is better, GLM 5.2 or DeepSeek V3.2 Exp?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 77.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, GLM 5.2 or DeepSeek V3.2 Exp?
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DeepSeek V3.2 Exp has a lower blended cost. GLM 5.2: $1.40 input / $4.40 output. DeepSeek V3.2 Exp: $0.27 input / $0.41 output.
Which has a larger context window, GLM 5.2 or DeepSeek V3.2 Exp?
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GLM 5.2 has a larger context window: GLM 5.2 supports 262K tokens vs DeepSeek V3.2 Exp at 164K tokens.
What are the key differences between GLM 5.2 and DeepSeek V3.2 Exp?
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Key differences: GLM 5.2 has a notably higher capability index (6.2 point gap); DeepSeek V3.2 Exp is significantly cheaper. 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 DeepSeek V3.2 Exp for free on idapt.app to see which performs better for your specific needs.