apillmsourceopen.comUncensored API
Open source llm api for uncensored generation
Get an open source LLM API with a 100,000 token context window for reliable NSFW content generation without content refusals.
- OpenAI-compatible endpoints
- Crypto prepaid only
- $0.50 trial credit
Get your keyView API reference
- $0.15per 1M input tokens
- $0.50Output tokens / 1M
- 100,000token context
- $0.50trial credit
- 300requests per minute
Test with one call
curl https://api.apillmsourceopen.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "uncensored",
"messages": [{"role": "user", "content": "Generate a 256 byte binary blob"}]
}'from openai import OpenAI
client = OpenAI(base_url="https://api.apillmsourceopen.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.apillmsourceopen.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);What's included
OpenAI Compatible
Drop-in integration with existing SDKs and clients using standard endpoints.
Uncensored Model
Dedicated open-weight model tuned to answer without refusals for adult content.
100k Context
Support long conversations with a 100,000 token combined prompt and output window.
Streaming Support
Receive real-time token usage and content via Server-Sent Events for low latency.
Function Calling
Execute tools and generate structured JSON objects with built-in response formatting.
No Subscriptions
Pay only for tokens used with prepaid credit that never expires.
Integration steps
Create Account
Sign up with Google or email to get your API key instantly.
Add Credit
Top up with USDT or USDC to start using the uncensored API.
Integrate
Update your base URL and start sending requests to the chat endpoint.
Common use cases
Adult Roleplay
Generate unrestricted fictional narratives and character interactions without content filters blocking adult themes.
Content Creation
Produce NSFW stories, scripts, or marketing copy that standard models might censor.
Data Annotation
Label and process large datasets requiring diverse, uncategorized, or mature content outputs.
Research Testing
Test model behavior on controversial or sensitive topics without unexpected refusal errors.
6-Step Checklist: Choosing an Uncensored LLM API Provider
Verify the provider serves a dedicated, tuned model rather than a generic proxy. Check for OpenAI-compatible endpoints like POST /v1/chat/completions. Confirm token pricing is transparent with no hidden subscriptions. Ensure the API handles streaming via SSE. Look for prepaid credit that never expires. Verify crypto-only top-ups and immediate key issuance.
4 Signs You Are Using a Generic Proxy Instead of a Tuned Model
A proxy merely forwards requests, often retaining vendor refusals. Our API serves one dedicated uncensored model tuned for adult content without gatekeeping.
| Feature | Generic Proxy | Our API | |||
|---|---|---|---|---|---|
| Model Control | Shared, multi-vendor | Dedicated single model | |||
| Refusals | Variable by vendor | Consistent uncensored output | NSFW Tolerance | May filter content | Built-in NSFW support |
| Pricing | Complex markups | Transparent prepaid credits |
open source LLM API: Use Cases for NSFW and Roleplay
Our uncensored LLM API handles adult content and roleplay without the refusals common in general-purpose models. The dedicated open-weight model is tuned specifically for this, ensuring consistent behavior for lawful adult use.
Explicit Narrative Generation
Generate detailed, uncensored stories with high fidelity. The model understands context without triggering safety filters on mature themes.
Immersive Roleplay
Run character-driven chatbots that stay in persona. Function calling and streaming ensure low latency for interactive experiences.
Content Moderation Testing
Use the API to test your own moderation layers. The model provides raw outputs, letting you define your own rules.
Token Arithmetic: Real Cost Examples for Your Integration
Token Arithmetic: Real Cost Examples for Your Integration
Your uncensored API costs scale strictly by token volume. Input tokens run at $0.15 per million, while output tokens cost $0.50 per million. A 10,000-token prompt paired with a 2,000-token response totals 12,000 tokens, yielding a $0.0075 charge. Errors incur zero fees. Prepaid credits never expire, so you pay only for what you use without monthly subscriptions.
Common API Mistakes in the Uncensored Niche (And How to Avoid Them)
Developers often ignore strict JSON mode when using our uncensored model, leading to broken integrations. Another frequent error is neglecting to set max_tokens, which defaults to a mere 2,048 tokens per request. You should also verify that your base URL points directly to https://api.apillmsourceopen.com/v1 to avoid generic proxy latency. Finally, remember that our prepaid credit never expires, so avoid paying monthly subscriptions unnecessarily.
Migrate from OpenRouter or Groq in 3 Simple Steps
Migrate from OpenRouter or Groq in 3 Simple Steps
Switch to our uncensored LLM API by updating your base URL and model ID. First, replace your current endpoint with HTTPS://api.apillmsourceopen.com/v1. Second, set the model identifier to "uncensored" for consistent, refusal-free outputs. Third, use your prepaid crypto credit to verify connectivity. No key rotation or code refactoring is required, ensuring your integration remains stable.
Frequently asked questions
Is this a true open source LLM API for uncensored content?
Yes. We run one dedicated open-weight model tuned for uncensored output. It serves lawful adult use without refusals. You get consistent behavior because we do not aggregate third-party providers or switch models behind the scenes.
What is the context window for the uncensored chatbot?
The context window supports 100,000 tokens for prompt and completion combined. You can generate up to 16,000 tokens per request. If you omit max_tokens, the limit defaults to 2,048 tokens for shorter responses.
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 does the prepaid credit system work with crypto?
You pay only for tokens used with prepaid credit that never expires. Top-ups are crypto-only via USDT or USDC. Bonuses apply at $50, $100, and $200 levels, ensuring you get extra value for your usage.
Is the API compatible with standard OpenAI SDKs?
Yes. It uses the standard OpenAI-compatible chat-completions endpoint. You simply update the base URL and API key in your client. This ensures drop-in integration for developers already using the official SDKs for other models.
Can I use function calling and JSON mode?
Yes. The API supports function calling, JSON mode, and streaming via SSE. You can configure temperature, top_p, and penalties. This gives you full control over the model's output structure and reliability for your applications.
Get your API key
Sign up, copy the key, point to our base URL. Done.
