abliteration · Balanced
Abliterated Model
Abliteration.ai's unrestricted multimodal reasoning model is weight-modified to reduce refusals and answer prompts the original model might reject. It supports text and image input, structured output, automatic prompt caching, and a 262K-token context window.
- Reasoning
- Vision
- Structured output
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · minimal · low · medium · high · xhigh · max
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $1.00
- Output
- $3.00
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 262.1K
- Average output (7 days)
- 1.4K tokens
- Longer than 83% of 473 models
Side by side
Abliterated Model compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Abliterated ModelabliterationThis model | Abliterated Model Large V2abliterationRemove | |
|---|---|---|
| Provider | abliteration | abliteration |
| Discovery tier | Balanced | Frontier |
| Added | Aug 27, 2026 | Aug 31, 2026 |
| Limits | ||
| Context window | 262.14K | 1.05MBest |
| Max output | 262.13K | 999.99KBest |
| Average output | 1.4K tokens | 844 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.00Best | $3.00 |
| Output | $3.00Best | $5.00 |
| Cache read | $0.10Best | $0.30 |
| Performance | ||
| Throughput | 171.9 tok/s | 201.1 tok/sBest |
| Time to first token | 1.8 sBest | 3.3 s |
| Request success (24h) | 88.7% | 99.6%Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Vision | Yes | No |
| 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
- Abliterated Model Large V2
| Leaderboard | Abliterated Model | 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
- Abliterated Model Large V2
| Leaderboard | Abliterated Model | 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
- 171.9 tok/s
- Faster than 79% of 256 models
- Time to first token
- 1.8 s
- Quicker than 77% of 256 models
- Prompt cache hits
- 48.4%
- About $0.56 per 1M input tokens with caching
- Request success (24h)
- 88.7%
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.
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",
"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",
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.