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Abliterated Model Large V2, per token on one key.

Abliterated Model Large V2 is an abliterated build, with the refusal direction removed from its weights. It costs $7.50 per million input tokens and $12.50 per million output tokens, prepaid, with a 1,048,576-token context window. Call it at https://api.pentestllm.ai/v1/chat/completions with model "abliterated-model-large-v2" and a PentestLLM key, from any OpenAI SDK or agent that takes a base URL. It is for authorized security testing only.

Abliterated by Abliteration.ai, on PentestLLM as abliterated-model-large-v2.

Price per million tokens

Input
$7.50
Cached input
$0.75
Output
$12.50
Daily check
Steady since Nov 4
As of
2026-11-11

First request

curl
curl https://api.pentestllm.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-ptl-live-…" \
  -H "Content-Type: application/json" \
  -d '{"model": "abliterated-model-large-v2", "messages": [{"role": "user", "content": "Hello"}]}'

Base URL https://api.pentestllm.ai/v1. The key comes from the console; prices settle per token.

Get a key

  1. Create a key in the console. Credit is prepaid from $10, with no subscription.
  2. Set OPENAI_BASE_URL to https://api.pentestllm.ai/v1 and send your sk-ptl- key as the bearer token.
  3. Send abliterated-model-large-v2 as the model. The same key calls every model on PentestLLM.

Abliterated Model Large V2 settings for a coding agent

Any agent that takes an OpenAI-compatible provider uses these values. Step-by-step setup per agent is under agents.

provider settings
Provider
OpenAI-compatible
Base URL
https://api.pentestllm.ai/v1
Model
abliterated-model-large-v2
Context window
1,048,576 tokens
Tool calling
yes, per the catalog
Key prefix
sk-ptl-

Abliterated Model Large V2 specs

Kind
Abliterated
Developer
Abliteration.ai
Context window
1,048,576 tokens
Wire formats
openai
Endpoints
/v1/chat/completions, /v1/messages, /v1/completions, /v1/responses, /v1beta/models/{model}:generateContent

What Abliterated Model Large V2 is for

Abliterated Model Large V2 is an abliterated build: the refusal direction was removed from the weights, so it is built to decline fewer security questions than the stock model, with no system prompt to maintain. Refusals are reduced, not gone. Testers use it for triaging scanner output, explaining a CVE, reviewing code for vulnerabilities, drafting report findings, writing detection rules and solving CTF challenges.

Use it only on systems you own or have written permission to test. The acceptable use policy lists what is not allowed and applies to every request.

Every request is settled to the token at the prices above. The daily real-model check sends a fixed prompt to every model and records whether the answer still matches; this model’s verdict today is “Steady since Nov 4”. Call it from the OpenAI SDK or a coding agent, or send auto/security and let the router pick a security build per request. Keys and top-ups live in the console.

What Abliterated Model Large V2 costs, worked

An agent turn of 8,000 input and 1,000 output tokens at $7.50 input and $12.50 output per million tokens is $0.0725; 100 turns are $7.25 and 1,000 turns are $72.50. An agent resends its context on every turn, so the input side is most of the bill. All from prepaid credit, no subscription.

usage, 1,000 agent turns on Abliterated Model Large V2
Input, 8,000 tokens at $7.50 per million
$0.06
Output, 1,000 tokens at $12.50 per million
$0.0125
One turn
$0.0725
1,000 turns
$72.50
Abliterated buildsContextIn / out per 1M1,000 agent turns
GLM-5.3 Flash Abliteratedn/a$0.4656 / $1.94$5.6648
Apex Flash 1 Abliterated262K$0.68 / $2.32$7.76
DeepSeek V4.1 Flash Abliteratedn/a$0.8488 / $1.6975$8.4875
DeepSeek V4.1 Flash 1017 Abliterated1000K$0.75 / $3.125$9.125
GLM-5.3 Flash Apex Abliterated1049K$0.80 / $3.20$9.60
Gemma 4 31B Cognitive Unshackled262K$1.071 / $1.071$9.639
Qwen3.5 27B Blossom V6.4 Derestricted262K$1.071 / $1.071$9.639
Qwen3.5 27B BlueStar v3 Derestricted262K$1.071 / $1.071$9.639
Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled Derestricted262K$1.071 / $1.071$9.639
Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled Derestricted Lite262K$1.071 / $1.071$9.639
Qwen3.5 27B Queen Derestricted262K$1.071 / $1.071$9.639
Abliterated Model Large V21049K$7.50 / $12.50$72.50

Live from the catalog on 2026-11-11, ordered by the cost of 1,000 turns of 8,000 input and 1,000 output tokens; cached input is not counted. Every price.

Also try

Abliterated Model Large V2 questions

Abliterated Model Large V2 is an abliterated build, with the refusal direction removed from its weights, from Abliteration.ai, with a 1,048,576-token context window. On PentestLLM it answers as abliterated-model-large-v2.

The refusal direction was removed from the model's weights, so Abliterated Model Large V2 is built to decline fewer requests than the stock model, with no system prompt doing the work. Refusals are reduced, not gone, and the acceptable use policy still applies to every request. See the acceptable use policy.

No. Credit is prepaid from $10 and billed per token: input $7.50 and output $12.50 per million tokens, cached input $0.75.

About $0.0725 for 8,000 tokens in and 1,000 tokens out, at $7.50 in and $12.50 out per million tokens. A thousand such turns are $72.50.

Yes. Send abliterated-model-large-v2 as the model through the OpenAI SDK, or any agent that takes a custom OpenAI base URL, with base URL https://api.pentestllm.ai/v1. It also answers the Anthropic Messages API at the same host, so agents built on the Anthropic SDK can call it. See the docs.

Yes. The catalog lists tools among the parameters Abliterated Model Large V2 takes, so function calling works and a request can declare the gateway's server-side tools, which the docs list with their fees. See the docs.

Yes. The daily real-model check sends every model the same fixed prompt and records whether the answer still matches. Abliterated Model Large V2’s latest result, from Nov 9: steady since Nov 4. See the daily check.

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