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Command R (Aug 2024) vs GLM 5.2

At a glance

Cohere's mid-tier retrieval-optimized model from August 2024.

128K ctx$0.15/$0.60 per M

Z.ai's frontier reasoning model for long-context agents and software engineering.

831.0M ctx$0.78/$2.44 per M#16/92
Agent Demos
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No shared agent demos for these models yet.

AI Output
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Benchmarks
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Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Competition Math86.4%
Coding
Real-World Coding78.7%
Specs
128K
Context
4K
Max output
Aug 2024
Released
1.0M
Context
131K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input81%$0.15/M tokens
Output75%$0.60/M tokens
Live pricing, shown before you run
Input$0.78/M tokens
Output$2.44/M tokens
Cache read$0.14/M tokens
Chat with Command R (Aug 2024)Go to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: Command R (Aug 2024) vs GLM 5.2▼

Which is better, Command R (Aug 2024) or GLM 5.2?

▼

Both Command R (Aug 2024) and GLM 5.2 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Command R (Aug 2024) or GLM 5.2?

▼

Command R (Aug 2024) has a lower blended cost. Command R (Aug 2024): $0.15 input / $0.60 output. GLM 5.2: $0.78 input / $2.44 output.

Which has a larger context window, Command R (Aug 2024) or GLM 5.2?

▼

GLM 5.2 has a larger context window: Command R (Aug 2024) supports 128K tokens vs GLM 5.2 at 1M tokens.

What are the key differences between Command R (Aug 2024) and GLM 5.2?

▼

Key differences: Command R (Aug 2024) 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?

▼

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 Command R (Aug 2024) and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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