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GLM 4.6 pricing and routing profile

GLM 4.6 from Z.ai lists at $0.43 per million input tokens and $1.75 per million output tokens, with a 204,800-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.43
Output, per 1M tokens$1.75
Cached input, per 1M$0.08
Context window205K
Confidence signalNot exposed

Tool callingStructured outputReasoning control

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.276
Chat reply (2,000 in, 400 out)$1.56
Retrieval-augmented answer (8,000 in, 500 out)$4.32

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 4.6. 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 4.6 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
Qwen3.7 Plus$0.32 / $1.2826%
Qwen3.5 Plus 2026-02-15$0.26 / $1.5627%
GLM 5.3$0.33 / $1.2027%
Muse Glimmer 30B$0.30 / $1.2031%
MiniMax M3$0.30 / $1.2031%
MiniMax M2.7$0.30 / $1.2031%

Questions

How much does GLM 4.6 cost?

GLM 4.6 lists at $0.43 per million input tokens and $1.75 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 $1.56 per 1,000 requests.

What is the context window of GLM 4.6?

204,800 tokens.

Can a cheaper model replace GLM 4.6?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GLM 4.6 on one half of your requests and make at most three answers worse on the other.