When was GLM-4-AirX released, and is it still maintained?

GLM-4-AirX is listed in the catalog with status stable. Check the model page for release and deprecation details before depending on it long term.

Does GLM-4-AirX have a free tier?

GLM-4-AirX is billed per use and the record publishes no free-tier allowance. The current published rates are input $1.4286 per 1M tokens and output $1.4286 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

What should you evaluate before moving production traffic to GLM-4-AirX?

Before switching production traffic to GLM-4-AirX, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

How should you set the output budget for GLM-4-AirX?

Set max_tokens on GLM-4-AirX to the longest response your task actually needs, not the 4,095-token ceiling. Keeping the cap tight reduces worst-case spend and shortens tail latency. Raise it only for tasks that demonstrably need longer output.

How do you get a cache hit on GLM-4-AirX?

The current GLM-4-AirX listing publishes no cache-read rate, so cached-prefix billing is not part of its pricing. Treat repeated prefixes as fresh input when you size the workload, and confirm with the provider before designing for a cache saving.

Model detail

GLM-4-AirX

Provided by GLM

Pay-as-you-go

A faster GLM-4 Air variant designed for low-latency, high-concurrency language processing and agent-oriented tasks.

Model specs

Model ID: glm-4-airx

Context length: 8K
Max output: 4.095K
I/O modalities
Released: 2026-10

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$1.4286 /1M Tokens

Completion

$1.4286 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

A faster GLM-4 Air variant designed for low-latency

A faster GLM-4 Air variant designed for low-latency, high-concurrency language processing and agent-oriented tasks.

What should you check before using it?

8,000 context, 4,095 output tokens

GLM model that supports tool calling.

Why use it through MixRoute?

GLM-4-AirX runs tools and structured output here

Tool calling and structured output run on that route as well. MixRoute serves GLM-4-AirX on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-4-airx and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GLM-4-AirX supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

GLM-4-AirX can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

GLM-4-AirX supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

OpenAI SDK

Call GLM-4-AirX through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 8K

Output tokens Max per request 4.095K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

GLM-4-AirX returns up to 4,095 output tokens per request, within a 8,000-token context window. Cap the response with the max_tokens parameter so a single call cannot run past your budget.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

glm-4-airx

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs