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Abliterated ModelAbliterated Model
A general-purpose abliterated reasoning model with a 262K-token context window and optional image input.
Text + Image in
$2.00/M in · $6.00/M out
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Abliterated Model API — Abliterated Model, Abliterated Model Large and Abliterated Model Large V2
The Abliterated Model API gives you programmatic access to Abliterated Model, Abliterated Model Large and Abliterated Model Large V2 through one Muapi API key. Every endpoint takes the same request body: prompt, optional system_prompt, max_tokens, and image_url on vision-capable models.Abliterated models are language models modified to reduce their built-in refusal behavior. Abliteration and related techniques (obliteration, derestriction) lower how often a model declines a request; they do not guarantee unrestricted output, remove every limit, or change Muapi's acceptable-use policy. You remain responsible for how you use the output.
Abliterated Model
General reasoning and multimodal chat with reduced refusals1 modelsTry Model
Abliterated Model Large
Large-context reasoning over long documents and codebases1 modelsText GenerationLive
Abliterated Model LargeAbliterated Model Large
The larger abliterated reasoning model with a 1M-token context window, text in and text out.
Text in
$6.00/M in · $10.00/M out
Abliterated Model Large V2
The newest large abliterated reasoning tier1 modelsText GenerationLiveFeatured
Abliterated Model Large V2Abliterated Model Large V2
The second revision of the large abliterated reasoning model, with a 1M-token context window and text-only input.
Text in
$6.00/M in · $10.00/M out
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What is the Abliterated Model API?
This page covers Abliterated Model, Abliterated Model Large and Abliterated Model Large V2 on Muapi. A general-purpose abliterated reasoning model with a 262K-token context window and optional image input. The larger abliterated reasoning model with a 1M-token context window, text in and text out. The second revision of the large abliterated reasoning model, with a 1M-token context window and text-only input.
Submit a prompt, optionally with a system_prompt to set persona and tone and an image_url on vision-capable models, and poll for the generated text. Typical uses include creative writing, red-team and safety research, evaluation against the unmodified base model, and applications where a base model's refusals get in the way of legitimate work. Abliterated models are language models modified to reduce their built-in refusal behavior. Abliteration and related techniques (obliteration, derestriction) lower how often a model declines a request; they do not guarantee unrestricted output, remove every limit, or change Muapi's acceptable-use policy. You remain responsible for how you use the output.
Key Capabilities
3 Models, One API
Every endpoint accepts the same request body and returns text through the shared result endpoint, so switching models is a one-line change.
Reduced Refusals
Abliteration and related techniques lower how often the model declines a request. Behavior varies by model and prompt, and is not a guarantee.
System Prompt Control
Set a system_prompt to steer persona, tone, and output format for creative, analytical, or evaluation work.
Pay Per Token
Billing follows the token counts each call returns. There is no subscription and no model hosting to manage.
Image Input on Vision Models
Pass an image_url to Abliterated Model.
Acceptable-Use Policy Applies
Reduced refusals do not mean no rules. Muapi's acceptable-use policy and applicable law still apply to what you generate.
Pricing
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| abliterated-model | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $2.00/M in · $6.00/M out | General reasoning and multimodal chat with reduced refusals |
| abliterated-model-large | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $6.00/M in · $10.00/M out | Large-context reasoning over long documents and codebases |
| abliterated-model-large-v2 | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $6.00/M in · $10.00/M out | The newest large abliterated reasoning tier |
Billed per token from the usage each call returns; prices are per million input and output tokens.
How to Call the Abliterated Model API
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint.
1. Submit a prompt to Abliterated Model
curl -X POST https://api.muapi.ai/api/v1/abliterated-model \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Describe the plot of a dark psychological thriller in detail.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model with a prompt and optional system_prompt, image_url.
2. Submit a prompt to Abliterated Model Large
curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Summarize this long transcript and list every claim that needs a fact-check.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model-large with a prompt and optional system_prompt.
3. Submit a prompt to Abliterated Model Large V2
curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large-v2 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Draft a blunt red-team style review of this product launch plan.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model-large-v2 with a prompt and optional system_prompt.
4. Poll the result
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll the shared result endpoint until the task is completed, then read the generated text from outputs.
Frequently Asked Questions
What is an abliterated LLM?
An abliterated language model is a model whose refusal behavior has been reduced by editing the internal direction that drives refusals, usually without retraining from scratch. Related terms such as obliterated and derestricted describe similar techniques. The result tends to decline fewer requests than the original model, but it is not a guarantee and quality can differ from the base model.
Which models does the Abliterated Model API include?
Abliterated Model, Abliterated Model Large and Abliterated Model Large V2. Each is a separate endpoint with its own model name in the URL.
How much does it cost?
Billing is per token, deducted after each call from the counts the model returns. Rates start at $2.00 per million input tokens; see the pricing table for every model.
Will these models answer anything I ask?
No. Reduced refusals do not mean unrestricted output, and each model's knowledge and quality still bound the answer. You are responsible for how you use the output, and requests that violate Muapi's acceptable-use policy or the law are not permitted.
Can I send images to these models?
Yes on Abliterated Model: add an image_url next to your prompt. The others are text-only.
How do I get the result?
POST to /api/v1/<model-name> returns a request_id. Poll /api/v1/predictions/{request_id}/result until the status is completed, then read the text from outputs.
Can I use these models in Claude Code or Codex?
Yes, for the models that support tool calling: Abliterated Model Large and Abliterated Model Large V2. Abliterated Model does not support tool calling and cannot be used in coding agents. In Claude Code, set ANTHROPIC_BASE_URL to https://api.muapi.ai/anthropic and ANTHROPIC_AUTH_TOKEN to your Muapi API key, then start it with claude --model abliterated-model-large (also set ANTHROPIC_DEFAULT_HAIKU_MODEL and ANTHROPIC_SMALL_FAST_MODEL to the same id). Codex CLI works too: add a model provider with base_url https://api.muapi.ai/openai/v1 and set model to the same id. Quality varies by model and smaller models can skip steps on multi-file tasks, there is no prompt caching so every turn is billed for the whole conversation so far, and each response is capped at 16,384 tokens. Setup guide: /docs/ai-agent-install-chat-agents.
Browse the full Abliterated LLM API lineup →All 20 models on the Abliterated LLM API, side by side with pricing.Explore the MiMo Abliterated API →MiMo V2.6 Flash AbliteratedExplore the Qwen Abliterated API →6 models.Explore the Llama Abliterated API →Llama 3.3 70B Instruct Abliterated and NeuralDaredevil 8B AbliteratedExplore the GLM Abliterated API →GLM 5.3 Flash Abliterated, GLM 5.3 Abliterated and GLM 4.6 Derestricted v5Explore the Gemma Abliterated API →Gemma 4 26B A4B Abliterated, Gemma 4 31B Gembrain Abliterated and Gemma 4 31B SDFT AbliteratedExplore the DeepSeek R1 Abliterated API →DeepSeek R1 Distill Llama 70B Abliterated and DeepSeek R1 Distill Qwen 32B AbliteratedSee the Character Chat LLM API →12 models on the Character Chat LLM API.See the Low-Refusal LLM API →2 models on the Low-Refusal LLM API.Browse every LLM on Muapi →Compare these models against GPT, Claude, Gemini, DeepSeek and every other language model in the catalog.
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