Kimi K2 vs GLM 5.2
MoonshotAI's large MoE model — 1T total parameters, 32B active.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: Kimi K2 vs GLM 5.2▼
Which is better, Kimi K2 or GLM 5.2?
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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, Kimi K2 or GLM 5.2?
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Kimi K2 has a lower blended cost. Kimi K2: $0.57 input / $2.30 output. GLM 5.2: $1.40 input / $4.40 output.
Which has a larger context window, Kimi K2 or GLM 5.2?
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GLM 5.2 has a larger context window: Kimi K2 supports 131K tokens vs GLM 5.2 at 262K tokens.
What are the key differences between Kimi K2 and GLM 5.2?
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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 Kimi K2 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.