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DeepSeek V4 Pro vs GLM-5.2
DeepSeek V4 Pro and GLM-5.2: current price, context, max output, and supported operations.
Pricing comparison
| DeepSeek V4 Pro | GLM-5.2 | |
|---|---|---|
| Model maker | DeepSeek | Zhipu AI |
| Delivery availability | Available | Available |
| Context window | 1M | 1M |
| Max output | 384K | 128K |
| Official price | Input$0.66per 1M tokensOutput$1.98per 1M tokens | Input$1.40per 1M tokensOutput$4.40per 1M tokens |
| TokenLab price | — | — |
| Model performance |
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| Capabilities | JSON modePrompt CacheReasoningTool use | JSON modePrompt CacheTool use |
Summary
- DeepSeek V4 Pro: Input $0.66 / Output $1.98 per 1M tokens; GLM-5.2: Input $1.40 / Output $4.40 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
- DeepSeek V4 Pro supports 3.0x more output tokens
FAQ
Which is cheaper, DeepSeek V4 Pro or GLM-5.2?
DeepSeek V4 Pro: Input $0.66 / Output $1.98 per 1M tokens; GLM-5.2: Input $1.40 / Output $4.40 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the key differences between DeepSeek V4 Pro and GLM-5.2?
DeepSeek V4 Pro: Reasoning