GLM-4.6V
Not enough verified architecture information for a reliable VRAM estimate.
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AI modelsGLM-4.6V
AI model Released
- Context window
- 128,000 tokens
- Maximum output
- 32,768 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-4.6V
GLM-4.6V / Pricing tiers
| Provider / scope | Rate | Currency | Amount / unit |
|---|---|---|---|
| ZhipuGLM-4.6VStandard 输入长度 [0, 32) Token tier: 0 – 32,000 | Cached input | CNY | 0.2 / 1M tokens |
| Input | CNY | 1 / 1M tokens | |
| Output | CNY | 3 / 1M tokens | |
| ZhipuGLM-4.6VStandard 输入长度 [32, 128) Token tier: 32,000 – 128,000 | Cached input | CNY | 0.4 / 1M tokens |
| Input | CNY | 2 / 1M tokens | |
| Output | CNY | 6 / 1M tokens |
Capabilities
- Context window
- 128,000 tokens
- Maximum output
- 32,768 tokens
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- Yes
- Knowledge cutoff
- 2025-04
Input modalities
- text
- image
- video
Output modalities
- text
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