GLM 5.2 vs Qwen3.6 Plus
Z.ai's frontier reasoning model for long-context agents and software engineering.
Qwen's latest hybrid model combining linear attention with sparse MoE routing.
No captured outputs for these models yet.
Frequently Asked Questions: GLM 5.2 vs Qwen3.6 Plus▼
Which is better, GLM 5.2 or Qwen3.6 Plus?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 81.1). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, GLM 5.2 or Qwen3.6 Plus?
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Qwen3.6 Plus has a lower blended cost. GLM 5.2: $1.40 input / $4.40 output. Qwen3.6 Plus: $0.33 input / $1.95 output.
Which has a larger context window, GLM 5.2 or Qwen3.6 Plus?
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Qwen3.6 Plus has a larger context window: GLM 5.2 supports 262K tokens vs Qwen3.6 Plus at 1M tokens.
Do both GLM 5.2 and Qwen3.6 Plus support vision?
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Qwen3.6 Plus supports vision/image input, but GLM 5.2 does not.
Which has better coding performance, GLM 5.2 or Qwen3.6 Plus?
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GLM 5.2 scores higher on SWE-bench Verified: GLM 5.2 resolves 79% vs Qwen3.6 Plus at 58%.
What are the key differences between GLM 5.2 and Qwen3.6 Plus?
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Key differences: Qwen3.6 Plus is significantly cheaper; only Qwen3.6 Plus supports vision input. 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 Qwen3.6 Plus for free on idapt.app to see which performs better for your specific needs.