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abliteration · Efficient

Abliterated Large Flash

Added Oct 23, 2026

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Use in the app

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

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Abliterated Large Flash compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Abliterated Large FlashabliterationThis modelOpenAI o3-mini (Low)OpenAIRemove
ProviderabliterationOpenAI
Discovery tierEfficientEfficient
AddedOct 23, 2026Jan 31, 2026
Limits
Context window1.05MBest200K
Max output262.14KBest100K
Average output1.1K tokens—
Pricing, USD per 1M tokens
Input$1.00Best$1.10
Output$2.00Best$4.40
Cache read$0.10Best$0.55
Performance
Throughput329.9 tok/s—
Time to first token3.0 s—
Request success (24h)98.9%—
Benchmark indexes
Intelligence Index—12.5
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputYesYes
Parallel toolsYesNo
Reasoning effortnone, minimal, low, medium, high, xhigh, maxlow, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Abliterated Large Flash
  • OpenAI o3-mini (Low)

Intelligence Index

  • Abliterated Large Flash—
  • OpenAI o3-mini (Low)12.5
3.8Catalog models by score55.1

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 7.9%

  • GPQA Diamond

    Graduate-level science questions

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 74.8%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 79.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 71.7%

Math

  • AIME

    Competition mathematics

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 77.0%

  • MATH-500

    Competition math problems

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 97.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 6.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Abliterated Large Flash: —
    • OpenAI o3-mini (Low): 28.7%

Scores from Artificial Analysis, updated Oct 26, 2026.

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
329.9 tok/s
Faster than 93% of 260 models
Time to first token
3.0 s
Quicker than 54% of 260 models
Prompt cache hits
96.2%
About $0.13 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 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)

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