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abliteration · Frontier

Abliterated Model Large

Added Aug 27, 2026

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Use in the app

Abliteration.ai's unrestricted large text reasoning model is derived from GLM-5.2 and weight-modified to reduce refusals compared with the base model. It supports native tool calling, structured output, automatic prompt caching, and a one-million-token context window.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
none · minimal · low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$3.00
Output
$5.00
Cache read
$0.30

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
1M
Average output (7 days)
467 tokens
Longer than 47% of 473 models

Side by side

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Public evaluations

Benchmarks

There are no public benchmark results for Abliterated Model Large yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
159.8 tok/s
Faster than 78% of 260 models
Time to first token
3.5 s
Quicker than 48% of 260 models
Prompt cache hits
97.3%
About $0.37 per 1M input tokens with caching
Request success (24h)
98.9%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 0.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "abliteration-ai/abliterated-model-large",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="abliteration-ai/abliterated-model-large",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

abliteration

Other abliteration models, starting with the same family.