What is the context window of GLM-5-Turbo?

GLM-5-Turbo has a 202,752-token context window with a maximum output of 131,072 tokens. It is optimized for text-based tasks with function calling and structured output support.

What are the rate limits for GLM-5-Turbo?

Rate limits for GLM-5-Turbo depend on your MixRoute plan tier. Check your current quota in the console and run a small load test on your own workload.

What is GLM-5-Turbo best used for?

GLM-5-Turbo is optimized for deeply optimized for agentic workflows and tool-calling scenarios. It supports thinking mode, function calling, structured outputs, and MCP integration for agentic workflows.

Can I use the existing OpenAI SDK to call GLM-5-Turbo?

Yes. GLM-5-Turbo is available through MixRoute’s OpenAI-compatible Chat Completions endpoint. Set the model parameter to “glm-5-turbo” and use your MixRoute API key.

What should you evaluate before moving production traffic to GLM-5-Turbo?

Before moving production traffic to GLM-5-Turbo, verify the specs and rate limits in the console, run a pilot on your typical tasks, and compare quality, latency, and cost against your current setup on a representative sample.

Model detail

GLM-5-Turbo

Provided by GLM

Pay-as-you-go

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.

Model specs

Model ID: glm-5-turbo

Context length: 202.752K
Max output: 131.072K
I/O modalities
Released: 2026-03

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$1.2000 /1M Tokens

Completion

$4.0000 /1M Tokens

Cache read

$0.2400 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

GLM-5 Turbo is a new model from Z.ai designed for fast inference

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.

What should you check before using it?

202,752 context, 131,072 output tokens

GLM model that supports reasoning, tool calling, structured output, streaming, prompt caching and the OpenAI SDK. Knowledge cutoff: 2025-01-01. Released 2026-03-15.

Why use it through MixRoute?

Drop-in via OpenAI-compatible endpoint on MixRoute

Set the model parameter to "glm-5-turbo" and use your MixRoute API key. Compatible with OpenAI SDK and standard tool-calling patterns.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GLM-5-Turbo supports function and tool calls.

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

Structured output

GLM-5-Turbo can produce JSON-formatted output on demand.

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

Streaming

GLM-5-Turbo supports streamed responses.

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

Prompt caching

GLM-5-Turbo supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

OpenAI SDK

Call GLM-5-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 Max per request 202.752K

Output tokens Max per request 131.072K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

GLM-5-Turbo supports context caching, which can significantly reduce latency and cost for repeated prefixes. Stable content such as system prompts and tool definitions benefits most.

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-5-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