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Abliteration AI

Abliteration AI: Abliterated Model

abliteration-ai/abliterated-model

Try Abliterated Model for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "abliteration-ai/abliterated-model"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "abliteration-ai/abliterated-model"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Abliterated Model is Abliteration AI's general-purpose chat model, built through abliteration, a technique that locates and removes the internal activation direction responsible for a base model's safety refusals rather than retraining it from scratch. Abliteration AI does not disclose which base model this variant derives from, so that detail can't be verified.

It is the only model in Abliteration AI's lineup that accepts image input alongside text, with a 262,144-token context window and up to 262,134 output tokens.

Abliteration AI reports 82.1 on MMLU-Pro, 73.1 on GPQA, 83.7 on AIME 2025, and 68.1 on MMMU-Pro, plus a refusal rate of 3 out of 100 on harmful-behavior tests. These are the vendor's own published numbers, not independently verified.

It targets red-teaming, security research, and evaluation workloads where a provider's default refusals get in the way, backed by a zero data retention policy.

Context Window 262K

tokens

Max Output 262K

tokens

Input Cost $1

per million tokens

Output Cost $3

per million tokens

Release Date N/A

 

Try Abliterated Model for free

Try Abliterated Model instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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More AI Models From Abliteration AI

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Abliterated Large v2

Abliterated Large v2 is Abliteration AI's second-generation large-context chat model, built by abliterating Zhipu's GLM-5.3, the successor to the GLM-5.2 base behind Abliterated Large. Abliteration AI released it on August 29, 2026. Like its predecessor, it is text-only, with a 1,000,000-token context window and up to 999,990 output tokens, served in FP8 precision with zero data retention for prompts and responses by default. Abliteration AI reports 84.5% pass@1 on CyberGym across 1,507 tasks, a 41.8% resolution rate on Terminal-Bench 4.0 (versus Opus 5's 51.8%), and 105 of 869 tasks solved on ExploitGym within a two-hour window. These are vendor-reported figures, not independently verified. It targets the same offensive-cyber, red-teaming, and agent-testing use cases as Abliterated Large, for developers who want GLM-5.3's underlying capability without the base model's refusal behavior.

Chat

Abliterated Large

Abliterated Large is Abliteration AI's large-context chat model, built by abliterating Zhipu's GLM-5.2, a technique that identifies and removes the activation direction responsible for a model's safety refusals rather than retraining it. Abliteration AI released it on July 24, 2026, calling it one of the first large abliterated models offered over an API. It is text-only, with a 1,000,000-token context window and up to 999,990 output tokens. Abliteration AI reports 81.2% on SWE-bench Verified, 80.1% on Terminal-Bench 2.1 (matching GLM-5.2's own score), 86.2% on AgentHarm with zero refusals, 97.50% benign utility on AgentDojo, and 84.2% pass@1 on CyberGym, ahead of GPT-4o's 62.50% on that benchmark. These are vendor-reported figures, not independently verified. It targets offensive-security research, red-teaming, and agent-testing work, and Abliteration AI pairs it with a policy gateway for developer-side moderation since it follows injected instructions as readily as legitimate ones.

Frequently Asked Questions

How do I use Abliterated Model?

You can access Abliterated Model by Abliteration AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Can I try Abliterated Model for free?

Abliterated Model is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the Abliterated Model API free for developers?

Abliterated Model is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for Abliterated Model?
Abliterated Model costs $1 per 1M input tokens and $3 per 1M output tokens.
Price per 1M tokens
Input$1
Output$3
What is the context window of Abliterated Model?

Abliterated Model supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of Abliterated Model?

Abliterated Model can generate up to 262K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Abliterated Model API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add Abliterated Model to your app for free

Developers can integrate Abliterated Model for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works