Does GLM-3-TURBO have a free tier?

GLM-3-TURBO is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.7144 per 1M tokens and output $0.7144 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.

When was GLM-3-TURBO released, and is it still maintained?

GLM-3-TURBO was released on 2023-10. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

How do you get a cache hit on GLM-3-TURBO?

The current GLM-3-TURBO 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.

What should you evaluate before moving production traffic to GLM-3-TURBO?

Before switching production traffic to GLM-3-TURBO, 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.

Can you call GLM-3-TURBO with the OpenAI SDK you already use?

Yes. GLM-3-TURBO is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to glm-3-turbo . Keep your current request and response handling.

Model detail

GLM-3-TURBO

Provided by GLM

Pay-as-you-go

An earlier GLM-3 language model for conversational text generation, with support for batch-processing workloads.

Model specs

Model ID: glm-3-turbo

Context length: –
Max output: –
I/O modalities
Released: 2023-10

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.7144 /1M Tokens

Completion

$0.7144 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

An earlier GLM-3 language model for conversational text generation

An earlier GLM-3 language model for conversational text generation, with support for batch-processing workloads.

What should you check before using it?

Confirm pricing, rate limits, and quotas before production

GLM model that supports tool calling. Released 2023-10.

Why use it through MixRoute?

GLM-3-TURBO runs tools and structured output here

Tool calling and structured output run on that route as well. MixRoute serves GLM-3-TURBO on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-3-turbo and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GLM-3-TURBO supports function and tool calls.

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

Streaming

GLM-3-TURBO supports streamed responses.

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

OpenAI SDK

Call GLM-3-TURBO 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

Output tokens

Requests / month

Cache hit rate –

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

FAQ

The current model record does not publish a numeric rate limit for GLM-3-TURBO. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

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-3-turbo

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