GLM 5.3 Flash Abliterated pricing
| Model / exact API ID | Variant | Input | Cached input | Output | Context | Availability |
|---|---|---|---|---|---|---|
GLM 5.3 Flash Abliteratedglm-5.3-flash-abliterated | abliterated | $0.3 | $0.12 | $1 | 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
| Model / exact API ID | Variant | Input | Cached input | Output | Context | Availability |
|---|---|---|---|---|---|---|
GLM 5.3 Flash Abliteratedglm-5.3-flash-abliterated | abliterated | $0.3 | $0.12 | $1 | 1,048,576 tokens | preview |
GLM 5.3 Flashglm-5.3-flash | standard | $0.1 | $0.013453 | $0.333333333333 | Not published | preview |
GLM 5.3 Flash Uncensoredglm-5.3-flash-uncensored | uncensored | $0.15 | $0.013453 | $0.5 | Not published | preview |
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
- Uncensored modelsBrowse uncensored models and compare prices.
- Abliterated modelsBrowse abliterated models and compare prices.
- GLM 5.3 FlashModel details, token prices and API setup.
- GLM 5.3 Flash UncensoredModel details, token prices and API setup.
- Uncensored vs abliteratedCompare the techniques and model variants.
- GLM model guideContinue with the full setup guide.
- Model catalogue and pricesMachine-readable model IDs and token rates.