Z.ai: GLM 4.6V
The Z.ai: GLM 4.6V is an AI model that supports multiple input modalities, including images, text, and video, with a context length of 131072 tokens. It also offers tools and reasoning capabilities. This model may be worth considering for those who require a robust input system that can handle various media types. Its pricing structure, with $0.3 per million input tokens and $0.9 per million output tokens, is relatively high compared to other models. However, its benchmark blended score of 9.3 suggests it performs well in certain scenarios, making it a potential choice for those who value strong performance over cost efficiency.
Benchmark results
Independent, published benchmarks. Blended score 8.5 across 1 benchmark, last refreshed 2026-09-27. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 13.8 |
- Model ID
- z-ai/glm-4.6v
- Vendor
- z-ai
- Released
- December 2025
- Tokenizer
- Other
- Input Modalities
- image, text, video
- Output Modalities
- text
- Max Output
- 32,768 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.30/M input and $0.90/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.20 |
| A month of a busy support chatbot | 5M in / 2M out | $3.30 |
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Z.ai: GLM 4.6
Quick answers
- How much does Z.ai: GLM 4.6V cost?
- $0.30 per million input tokens and $0.90 per million output tokens.
- What is Z.ai: GLM 4.6V's context window?
- 131,072 tokens, roughly 196 pages of text in a single request.
- Does Z.ai: GLM 4.6V support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Z.ai: GLM 4.6V process images?
- Yes, it accepts image input.