GLM 5.3 Abliterated API: Pricing & Setup

GLM 5.3 Abliterated pricing

RouterHub token prices · USD per million tokens
Model / exact API ID	Variant	Input	Cached input	Output	Context	Availability
GLM 5.3 Abliterated `glm-5.3-abliterated`	abliterated	$0.4	$0.16	$1.333333333333	1,048,576 tokens	preview

Prices are USD per million tokens. Cached input uses the cache-read rate when a cache hit is reported.

Compare variants

RouterHub token prices · USD per million tokens
Model / exact API ID	Variant	Input	Cached input	Output	Context	Availability
GLM 5.3 Abliterated `glm-5.3-abliterated`	abliterated	$0.4	$0.16	$1.333333333333	1,048,576 tokens	preview
GLM 5.3 `glm-5.3`	standard	$0.15	$0.116591985714	$0.471428571429	Not published	preview
GLM 5.3 Uncensored `glm-5.3-uncensored`	uncensored	$0.2	$0.116591985714	$0.628571428571	Not published	preview

API compatibility and context

Exact model ID: glm-5.3-abliterated
Variant: abliterated
Supported API: OpenAI-compatible Chat Completions
Availability: preview
Context window: 1,048,576 tokens
Maximum input: 917,504 tokens
Maximum output: 131,072 tokens

Use GLM 5.3 Abliterated through the API

Create a RouterHub account, add prepaid credits and create an API key. Set ROUTERHUB_API_KEY locally, then send a first request with the exact model ID below.

cURL

curl --connect-timeout 30 --max-time 600 https://routerhub.si/v1/chat/completions \
  -H "Authorization: Bearer $ROUTERHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"glm-5.3-abliterated","messages":[{"role":"user","content":"Write a short noir scene set in a lighthouse."}],"max_tokens":256}'

Python

Install openai with pip. The examples request 256 output tokens and disable automatic retries. Check Usage after completion or a timeout before resending a paid request.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ROUTERHUB_API_KEY"],
    base_url="https://routerhub.si/v1",
    timeout=600.0,
    max_retries=0,
)
response = client.chat.completions.create(
    model="glm-5.3-abliterated",
    messages=[{"role": "user", "content": "Write a short noir scene set in a lighthouse."}],
    max_tokens=256,
)
print(response.choices[0].message.content)

GLM 5.3 Abliterated coding evaluations

RouterHub’s public coding evaluations on GitHub include prompts, raw outputs, settings, candidate hashes and sandbox-scored tests. The GLM results record both the default-effort attempts and the low-effort cohort, so you can compare runs with their original settings.

Read GLM coding results and run settingsRead the source, examples and project notes on GitHub.

GLM 5.3 Abliterated FAQ

What is GLM 5.3 Abliterated?

GLM 5.3 Abliterated is the abliterated variant of Z.ai’s GLM 5.3, with weight-level refusal reduction.

How much does GLM 5.3 Abliterated cost?

RouterHub charges $0.4 input / $0.16 cached / $1.333333333333 output per million tokens. Usage is billed against your prepaid balance.

What is the GLM 5.3 Abliterated context window?

Context window: 1,048,576 tokens. Maximum input: 917,504 tokens. Maximum output: 131,072 tokens.

Which API does GLM 5.3 Abliterated support?

Use OpenAI-compatible Chat Completions with the exact model ID glm-5.3-abliterated and your RouterHub API key.

Which variants can I compare with GLM 5.3 Abliterated?

Compare GLM 5.3 Abliterated with GLM 5.3, GLM 5.3 Uncensored. The comparison table includes their input, cached input, output and context.