GLM-5
Not enough verified architecture information for a reliable VRAM estimate.
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AI modelsGLM-5
AI model Released
- Context window
- 204,800 tokens
- Maximum output
- 131,072 tokens
- Open weights
- Yes
No matched benchmark results are available for this entry yet.
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API cost
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.
GLM-5
GLM-5 / Pricing tiers
| Provider / scope | Rate | Currency | Amount / unit |
|---|---|---|---|
| Google Vertex AIGLM-5Standard | Cached input | USD | 0.1 / 1M tokens |
| Input | USD | 1 / 1M tokens | |
| Output | USD | 3.2 / 1M tokens | |
| ZhipuGLM-5Standard 输入长度 [0, 32) Token tier: 0 – 32,000 | Cached input | CNY | 1 / 1M tokens |
| Input | CNY | 4 / 1M tokens | |
| Output | CNY | 18 / 1M tokens | |
| ZhipuGLM-5Standard 输入长度 [32+) Token tier: 32,000 – No stated upper limit | Cached input | CNY | 1.5 / 1M tokens |
| Input | CNY | 6 / 1M tokens | |
| Output | CNY | 22 / 1M tokens |
Capabilities
- Context window
- 204,800 tokens
- Maximum output
- 131,072 tokens
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- Yes
Input modalities
- text
Output modalities
- text
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