GLM 5.3 Flash Abliterated pricing

RouterHub token prices · USD per million tokens
Model / exact API IDVariantInputCached inputOutputContextAvailability
GLM 5.3 Flash Abliterated
glm-5.3-flash-abliterated
abliterated$0.3$0.12$11,048,576 tokenspreview

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 IDVariantInputCached inputOutputContextAvailability
GLM 5.3 Flash Abliterated
glm-5.3-flash-abliterated
abliterated$0.3$0.12$11,048,576 tokenspreview
GLM 5.3 Flash
glm-5.3-flash
standard$0.1$0.013453$0.333333333333Not publishedpreview
GLM 5.3 Flash Uncensored
glm-5.3-flash-uncensored
uncensored$0.15$0.013453$0.5Not publishedpreview

API compatibility and context

Exact model ID
glm-5.3-flash-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 Flash 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-flash-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-flash-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 Flash 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.

GLM 5.3 Flash Abliterated FAQ

What is GLM 5.3 Flash Abliterated?

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

How much does GLM 5.3 Flash Abliterated cost?

RouterHub charges $0.3 input / $0.12 cached / $1 output per million tokens. Usage is billed against your prepaid balance.

What is the GLM 5.3 Flash 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 Flash Abliterated support?

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

Which variants can I compare with GLM 5.3 Flash Abliterated?

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

Explore models and setup