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GLM 4.5V pricing and routing profile

GLM 4.5V from Z.ai lists at $0.60 per million input tokens and $1.80 per million output tokens, with a 65,536-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.60
Output, per 1M tokens$1.80
Cached input, per 1M$0.11
Context window66K
Confidence signalNot exposed

Tool callingReasoning control

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.378
Chat reply (2,000 in, 400 out)$1.92
Retrieval-augmented answer (8,000 in, 500 out)$5.70

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 4.5V. 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 4.5V that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
DeepSeek V4 Flash Vision Exp$0.44 / $1.3227%
Qwen3.5 Plus 2026-04-20$0.30 / $1.8031%
MiMo-V2.5-Pro$0.435 / $0.8737%
Qwen3.7 Plus$0.32 / $1.2840%
Qwen3.5 Plus 2026-02-15$0.26 / $1.5640%
Muse Glimmer 30B$0.30 / $1.2044%

Questions

How much does GLM 4.5V cost?

GLM 4.5V lists at $0.60 per million input tokens and $1.80 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 $1.92 per 1,000 requests.

What is the context window of GLM 4.5V?

65,536 tokens.

Can a cheaper model replace GLM 4.5V?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GLM 4.5V on one half of your requests and make at most three answers worse on the other.