abliteration · Efficient

Abliterated Large Flash

Added Oct 23, 2026

Abliterated Large Flash is an uncensored reasoning model based on DeepSeek V4.1-Flash-1017. It accepts text and images and returns text, with tool calling, JSON mode, JSON Schema output, and automatic prompt caching. Its shared input/output context is 1,048,576 tokens, with up to 262,144 output tokens when space permits. Reasoning defaults to high and can be turned off or set to low, high, or max. Supports up to four images across the request history.

Reasoning
Tools
Vision
Structured output
Parallel tools

Input: Text, Images
Output: Text
Reasoning effort: none · minimal · low · medium · high · xhigh · max
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $1.00
Output: $2.00
Cache read: $0.10

Reference prices as published by the model provider. API example

Specifications

Context window: 1M
Max output: 262.1K
Average output (7 days): 1.1K tokens; Longer than 73% of 473 models

Side by side

Compare models

Put Abliterated Large Flash next to up to three other models. The comparison stays in the link, so you can share it.

TryClaude Haiku 4.5 ASI1 Mini OpenAI o3-mini (Low)All 3

Public evaluations

Benchmarks

There are no public benchmark results for Abliterated Large Flash 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: 394.8 tok/s; Faster than 96% of 259 models
Time to first token: 3.1 s; Quicker than 50% of 259 models
Prompt cache hits: 95.2%; About $0.14 per 1M input tokens with caching
Request success (24h): 99.1%; 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 65.5%

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-flash",
    "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-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

abliteration

Other abliteration models, starting with the same family.