What is the rate limit for GLM-4-0520?

The current model record does not publish a numeric rate limit for GLM-4-0520. 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.

How do you get a cache hit on GLM-4-0520?

The current GLM-4-0520 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.

How does GLM-4-0520 score on benchmarks?

Recorded results for GLM-4-0520: arena_text 57.8. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

Can you call GLM-4-0520 with the OpenAI SDK you already use?

Yes. GLM-4-0520 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-4-0520 . Keep your current request and response handling.

What should you evaluate before moving production traffic to GLM-4-0520?

Before switching production traffic to GLM-4-0520, 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.

Model detail

GLM-4-0520

Q: How does GLM-4-0520 compare with gpt-5.3-codex, and what should you compare?

GLM-4-0520 sits alongside gpt-5.3-codex , glm-4.6 , gemini-2.5-pro in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

Provided by GLM

Pay-as-you-go

A dated GLM-4 snapshot used for conversational text generation and general language-processing tasks.

Model specs

Model ID: glm-4-0520

Context length: 128K
Max output: –
I/O modalities
Released: 2024-06

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$14.2860 /1M Tokens

Completion

$14.2860 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

A dated GLM-4 snapshot used for conversational text generation

A dated GLM-4 snapshot used for conversational text generation and general language-processing tasks.

What should you check before using it?

128,000 context tokens

GLM model that supports tool calling and structured output. Released 2024-06-05.

Why use it through MixRoute?

GLM-4-0520 runs tools and structured output here

Tool calling and structured output run on that route as well. MixRoute serves GLM-4-0520 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-4-0520 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GLM-4-0520 supports function and tool calls.

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

Structured output

GLM-4-0520 can produce JSON-formatted output on demand.

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

Streaming

GLM-4-0520 supports streamed responses.

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

OpenAI SDK

Call GLM-4-0520 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 128K

Output tokens

Requests / month

Cache hit rate –

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

FAQ

GLM-4-0520 sits alongside gpt-5.3-codex, glm-4.6, gemini-2.5-pro in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

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-4-0520

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