GLM 5.2 vs Kimi K2
Z.ai's frontier reasoning model for long-context agents and software engineering.
MoonshotAI's large MoE model — 1T total parameters, 32B active.
No captured outputs for these models yet.
Frequently Asked Questions: GLM 5.2 vs Kimi K2▼
Which is better, GLM 5.2 or Kimi K2?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 78.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, GLM 5.2 or Kimi K2?
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Kimi K2 has a lower blended cost. GLM 5.2: $1.40 input / $4.40 output. Kimi K2: $0.57 input / $2.30 output.
Which has a larger context window, GLM 5.2 or Kimi K2?
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GLM 5.2 has a larger context window: GLM 5.2 supports 262K tokens vs Kimi K2 at 131K tokens.
What are the key differences between GLM 5.2 and Kimi K2?
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Key differences: GLM 5.2 has a notably higher capability index (5.2 point gap); Kimi K2 is significantly cheaper; 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 Kimi K2 for free on idapt.app to see which performs better for your specific needs.