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abliteration · Frontier

Abliterated Model Large V2

Added Aug 31, 2026

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Use in the app

Abliteration.ai's default unrestricted large text reasoning model is derived from GLM-5.3 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
low · high · 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)
844 tokens
Longer than 66% of 473 models

Side by side

Abliterated Model Large V2 compared

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

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Abliterated Model Large V2abliterationThis modelClaude Sonnet 4.6AnthropicRemove
ProviderabliterationAnthropic
Discovery tierFrontierFrontier
AddedAug 31, 2026Feb 17, 2026
Limits
Context window1.05MBest1M
Max output999.99KBest128K
Average output844 tokens401 tokens
Pricing, USD per 1M tokens
Input$3.00$3.00
Output$5.00Best$15.00
Cache read$0.30$0.30
Performance
Throughput201.1 tok/sBest78.6 tok/s
Time to first token3.3 s1.5 sBest
Request success (24h)99.6%Best99.5%
Benchmark indexes
Intelligence Index—24.7
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
PDF inputNoYes
Reasoning effortlow, high, maxlow, medium, high, xhigh, max

Public evaluations

Benchmarks

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

  • Abliterated Model Large V2
  • Claude Sonnet 4.6

Intelligence Index

  • Abliterated Model Large V2—
  • Claude Sonnet 4.624.7
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 68.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 13.3%

  • GPQA Diamond

    Graduate-level science questions

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 79.9%

  • IFBench

    Following precise output instructions

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 41.2%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 46.2%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 79.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Abliterated Model Large V2: —
    • Claude Sonnet 4.6: 68.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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
201.1 tok/s
Faster than 85% of 256 models
Time to first token
3.3 s
Quicker than 46% of 256 models
Prompt cache hits
97.9%
About $0.36 per 1M input tokens with caching
Request success (24h)
99.6%
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 96.7%
  • 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-v2",
    "reasoning_effort": "low",
    "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-v2",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

abliteration

Other abliteration models, starting with the same family.