abliteration · Frontier
Abliterated Model Large
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
Abliterated Model Large compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Abliterated Model LargeabliterationThis model | Abliterated Model Large V2abliterationRemove | |
|---|---|---|
| Provider | abliteration | abliteration |
| Discovery tier | Frontier | Frontier |
| Added | Aug 27, 2026 | Aug 31, 2026 |
| Limits | ||
| Context window | 1M | 1.05MBest |
| Max output | 999.99K | 999.99K |
| Average output | 467 tokens | 844 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $3.00 | $3.00 |
| Output | $5.00 | $5.00 |
| Cache read | $0.30 | $0.30 |
| Performance | ||
| Throughput | 131.7 tok/s | 201.1 tok/sBest |
| Time to first token | 3.7 s | 3.3 sBest |
| Request success (24h) | 98.9% | 99.6%Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | none, minimal, low, medium, high, xhigh, max | low, high, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Abliterated Model Large
- Abliterated Model Large V2
| Leaderboard | Abliterated Model Large | Abliterated Model Large V2 |
|---|---|---|
| Combined | Not in top 20 | #6 · 22.6% |
Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.
- Abliterated Model Large
- Abliterated Model Large V2
| Leaderboard | Abliterated Model Large | Abliterated Model Large V2 |
|---|---|---|
| Usage Share | Not in top 20 | #2 · 11.7% |
Ranks among Noumen catalog models on Usage leaderboards. Only top-20 placements are listed.
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
- 131.7 tok/s
- Faster than 70% of 256 models
- Time to first token
- 3.7 s
- Quicker than 43% of 256 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.
- 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.
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
Related models
Other abliteration models, starting with the same family.