Uncensored API

Mistral abliterated API Guide

Deploy the uncensored LLM via an OpenAI-compatible API with a 100,000 token context window, no training on your prompts, and transparent crypto pricing.

OpenAI-compatible endpoints
No prompt training
Crypto-only top-ups

Try with trial credit View documentation

Test with one API call

curl https://api.mistralabliterated.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List the first five prime numbers"}]
  }'

from openai import OpenAI

client = OpenAI(base_url="https://api.mistralabliterated.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.mistralabliterated.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

$0.15per 1M input tokens
$0.50Output tokens / 1M
100,000token context
$0.50trial credit
300requests per minute

Core features

OpenAI-Compatible
Works with existing SDKs by changing only the base URL and API key.
No Training
Your prompts stay yours; we never use them for model training or fine-tuning.
JSON Mode
Force structured outputs with response_format json_object for reliable integration with your code.
Streaming Support
Receive tokens via SSE with usage data included in the final chunk.
Function Calling
Supports tools and tool_choice for complex agent workflows and dynamic queries.
Crypto Pricing
Prepaid credit with no monthly fees; errors and refusals are charged zero tokens.

Setup guide

Get Your Key
Sign up with Google or email to receive your API key instantly.
Top Up Credit
Add crypto funds starting from $20 to activate your account for use.
Send Requests
Point your client to the base URL and start sending chat completions.

Community projects

Agent Systems
Integrate uncensored reasoning into autonomous agents that require fewer refusals.
Creative Writing
Generate fiction without content filters blocking mature or controversial narrative elements.
Code Generation
Use the model for coding tasks without hallucinated restrictions on standard libraries.
Data Extraction
Parse large documents efficiently using the 100k token context window support.

Start using the uncensored API in minutes by creating an account and configuring your client.

Sign up via Google or email on the Get API key page; no phone number is required.
Receive your secret key instantly; copy it to your environment variables.
Update your OpenAI-compatible SDK to point to https://api.mistralabliterated.com/v1 and paste your key.
Send a POST /v1/chat/completions request with model ID uncensored to receive your first streamed response.

Why the mistral abliterated Model Wins

It eliminates corporate guardrails without requiring local hardware. This uncensored LLM runs on our servers, delivering a raw response style that bypasses standard refusals for lawful adult content. You get direct OpenAI-compatible access with transparent crypto pricing. The model supports function calling and JSON mode, making it ideal for developers who need consistent, unfiltered outputs in their existing codebases.

Common Pitfalls in Uncensored LLMs

Avoiding Integration Traps

Developers often assume uncensored models handle edge cases like vanilla GPT. Mistral abliterated requires explicit parameter tuning.

Set response_format for reliable JSON.
Expect no built-in moderation.

Configure temperature and top_p manually. Without these, outputs vary wildly. Our API enforces a strict 100,000-token context window. This prevents memory bloat from unbounded streaming. Always test function calling with dummy tools first. This ensures your SDK handles streaming tokens correctly before production deployment.

Real-World Token Cost Examples

Our pricing is transparent: $0.15 per 1M input tokens and $0.50 per 1M output tokens.

A 10,000-token prompt with a 500-token response costs $0.00165.
A 50,000-token context with 1,000 output tokens costs $0.0075.

Errors are free. Prepaid credit never expires, ensuring you only pay for actual usage.

Who Is This For (And Who Isn't)

Who Is This For?

Developers who need an uncensored LLM via an OpenAI-compatible API.
Teams building chatbots that must answer without refusals.
Researchers testing raw model behavior.

Who Isn't?

Users needing image or audio generation.
Projects requiring embeddings or fine-tuning.
Anyone needing a model other than our single uncensored option.

This API serves direct text completion without corporate guardrails, but it lacks the multi-modal capabilities of larger platforms.

Developer Questions Answered

Developers seeking an uncensored LLM often ask about model specifics and pricing. The model id is "uncensored" and supports function calling. You pay $0.15 per 1M input tokens. A 300 requests per minute limit applies. Mistral abliterated models are not served here. Check official docs for their limits. Use streaming for real-time responses. Errors are free.

Common questions

What is the mistral abliterated model and how does it differ from standard versions?

It is an open-weight uncensored LLM that removes corporate guardrails. Our API serves this model via a standard endpoint. You receive raw text output without refusals for lawful adult content or controversial topics.

How much does uncensored API usage cost per million tokens?

Input tokens cost $0.15 per million and output tokens cost $0.50 per million. Errors and refusals are free. You only pay for actual token usage with prepaid credit that never expires.

Can I use the official OpenAI SDKs with this service?

Yes. The endpoint is fully OpenAI-compatible. You simply update your base URL to HTTPS://api.mistralabliterated.com/v1 and provide your API key. Streaming and JSON mode work exactly as expected in standard clients.

What is the maximum context window and output length supported?

The context window supports 100,000 tokens for prompt plus completion. You can set max_tokens up to 16,000 per request. If unspecified, the default output length is 2,048 tokens.

How do I top up my credit using cryptocurrency?

Use USDT on TRC20 or USDC on Base for amounts between $20 and $500. You receive a bonus credit: 5% from $50, 10% from $100, or 15% from $200 added automatically.

Which payment methods do you accept?

Crypto only: USDT on TRC20 or USDC on Base, any whole amount from $20 to $500. Bonus credit applies from $50.

Get your API key in seconds

Try with trial credit

Mistral abliterated API Guide

Core features

OpenAI-Compatible

No Training

JSON Mode

Streaming Support

Function Calling

Crypto Pricing

Setup guide

Get Your Key

Top Up Credit

Send Requests

Community projects

Agent Systems

Creative Writing

Code Generation

Data Extraction

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