MiniMax M2.7 vs GLM 5.2
MiniMax's most capable model, built for autonomous real-world productivity with subagent collaboration.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: MiniMax M2.7 vs GLM 5.2▼
Which is better, MiniMax M2.7 or GLM 5.2?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 77.9). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, MiniMax M2.7 or GLM 5.2?
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MiniMax M2.7 has a lower blended cost. MiniMax M2.7: $0.25 input / $1.00 output. GLM 5.2: $1.40 input / $4.40 output.
Which has a larger context window, MiniMax M2.7 or GLM 5.2?
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GLM 5.2 has a larger context window: MiniMax M2.7 supports 197K tokens vs GLM 5.2 at 262K tokens.
What are the key differences between MiniMax M2.7 and GLM 5.2?
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Key differences: GLM 5.2 has a notably higher capability index (5.5 point gap); MiniMax M2.7 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 MiniMax M2.7 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.