GLM 4.6V pricing and routing profile
GLM 4.6V from Z.ai lists at $0.30 per million input tokens and $0.90 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingReasoning control
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.189 |
| Chat reply (2,000 in, 400 out) | $0.96 |
| Retrieval-augmented answer (8,000 in, 500 out) | $2.85 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for GLM 4.6V. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below GLM 4.6V that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| Qwen Plus 0728 | $0.26 / $0.78 | 13% |
| Qwen-Plus | $0.26 / $0.78 | 13% |
| DeepSeek V3.2 | $0.28 / $0.42 | 24% |
| DeepSeek V3.2 Exp | $0.27 / $0.41 | 27% |
| Llama 4 Maverick | $0.188 / $0.652 | 34% |
| Qwen3 Coder Next | $0.12 / $0.80 | 42% |
Questions
How much does GLM 4.6V cost?
GLM 4.6V lists at $0.30 per million input tokens and $0.90 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.96 per 1,000 requests.
What is the context window of GLM 4.6V?
131,072 tokens.
Can a cheaper model replace GLM 4.6V?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GLM 4.6V on one half of your requests and make at most three answers worse on the other.