OpenAI Compatible
Works with official SDKs by changing the base URL to our endpoint.
Uncensored LLM API
LLM api services for uncensored inference
Get a reliable uncensored LLM API services endpoint with a 100,000 token context window, streaming support, and transparent per-token pricing for your next project.
- OpenAI-compatible base URL
- No training on prompts
- Credit never expires
Test with one call
curl https://api.llmapiservices.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "uncensored",
"messages": [{"role": "user", "content": "Summarize the main points of the attached documentation."}]
}'from openai import OpenAI
client = OpenAI(base_url="https://api.llmapiservices.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.llmapiservices.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);Core capabilities
100k Context Window
Process large documents with a combined prompt and completion limit of 100,000 tokens.
Streaming Support
Receive responses via Server-Sent Events with token usage details in the final chunk.
Function Calling
Use tools and tool_choice parameters to integrate the model into your applications.
JSON Mode
Force structured outputs using the response_format parameter for reliable data parsing.
Private by Default
Your prompts are not used for training, ensuring your data stays yours.
Setup process
Get Your Key
Sign up with Google or email to receive your API key instantly.
Add Crypto Credit
Top up with USDT or USDC to start sending requests immediately.
Integrate & Scale
Use the standard chat-completions endpoint in your code and scale as needed.
The uncensored LLM API services developers actually need
We provide a single, hosted, OpenAI-compatible API. It serves one uncensored large language model designed for direct inference without content filters or data training on your prompts. You pay strictly for tokens used, with no subscription lock-in or monthly fees required. This approach ensures transparent pricing and total privacy for your data.
Direct Inference
Send text and receive text. No embeddings, no vision, no audio. Just pure language processing via standard endpoints.
Privacy First
Your prompts never train the model. Sign up with Google or email to get an instant key. No phone number required.
Pure Tokens
Credit never expires. Errors are free. You only pay for the input and output tokens your requests actually consume.
Who uses our API and who should look elsewhere
Developers building NSFW chatbots or privacy-focused voice assistants use this uncensored LLM API to bypass refusals. We serve teams needing raw text output without training on their data. You are not our audience if you require image generation, embeddings, or fine-tuning capabilities. We also exclude users expecting SLA guarantees, ISO certifications, or multi-model routing between vendors like GPT or Claude. Stick with us for simple, unfiltered inference.
Common mistakes when switching from big providers
Developers often assume all LLM API services function identically. This assumption breaks when moving to an uncensored LLM provider. You might expect embeddings or image generation, but our API offers only text completions. Another error is ignoring the 100,000-token context window limits. Verify your client library handles streaming correctly. Many users forget that prepaid credit never expires, so budget accordingly without monthly fees.
Real token costs: examples using our pricing
You pay $0.15 per 1M input tokens and $0.50 per 1M output tokens. Errors cost nothing. Errors and refusals are free. A 1,000-word story uses roughly 1,300 input and 1,300 output tokens. This totals 2,600 tokens. The cost is approximately $0.0013. Prepaid credit never expires. You only pay for what you use.
Questions developers ask about privacy and limits
We protect your data by never training on prompts. Credit never expires, so your prepaid balance is safe. The uncensored LLM API enforces strict usage limits: 300 requests per minute and a maximum output of 16,000 tokens. You can stream responses via SSE to manage latency effectively. Our model answers lawful adult questions without refusals, ensuring consistent output for your applications.
How we differ from typical alternatives
Our API strips away subscription lock-ins and data training loops found elsewhere. We offer a single uncensored model with transparent token pricing. You pay only for what you use, and your credit never expires. Prompts stay private, and lawful adult content is handled without refusal.
Common questions
What is an LLM API services uncensored model?
It is a hosted endpoint that returns text without content refusals for lawful adult topics. You send prompts and receive unfiltered responses. The model does not block controversial or NSFW queries by default, ensuring your data stays private and unused for training purposes.
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.
How much does it cost to use the API?
It costs $0.15 per million input tokens and $0.50 per million output tokens. Errors and refusals incur no charge. You pay only for what you use, with prepaid credit that never expires. There are no monthly subscriptions or hidden fees attached to your account usage.
Is my conversation data used to train the model?
No, your prompts are not used for training. We respect your privacy by keeping your data separate from our training sets. Your inputs remain private while being processed. You can rely on this service for confidential projects without worrying about your specific queries being exposed later.
What is the maximum context window size?
The context window supports one hundred thousand tokens total. This includes both your prompt and the completion output combined. You can generate up to sixteen thousand tokens per request. This large window allows you to process substantial documents or maintain long, coherent conversations efficiently.
Does the model refuse all adult content?
No, it allows lawful adult and NSFW topics without filtering. The only hard limit is content involving minors. You can generate fictional, security research, or controversial material freely. This uncensored behavior makes it ideal for creators who need unfiltered responses for their specific use cases.
Access your key via a form
Register, copy the key, update the base URL. That is all.
