The Real Cost of Uncensored Text Generation
Developers often assume uncensored models are free because they run locally, but hardware and electricity add up quickly. When you shift to a hosted API, the real cost is defined by token consumption, not a flat monthly fee. Our approach strips away the complexity of tiered limits. You simply pay for what you consume.
We charge $0.15 per million input tokens and $0.50 per million output tokens. This means a long conversation history does not inflate your base rate. Errors in your prompt are free. Refusals are free. You only pay when the model actually generates text. This model works best for bursty workloads where a subscription might sit idle.
Token Arithmetic: Our Prices vs. The Market
Most major vendors use complex pricing that scales with model size or includes hidden context window penalties. Our arithmetic is straightforward: input tokens cost one-fourth of output tokens. This reflects the computational reality that generation is more expensive than ingestion.
| Token Type | Price per 1M Tokens | Cost per 1,000 Tokens |
|---|---|---|
| Input | $0.15 | $0.00015 |
| Output | $0.50 | $0.00050 |
You can estimate your costs by counting tokens before sending a request. If you send a 5,000-token prompt and receive a 500-token response, you pay for 5,500 tokens total. This transparency allows you to budget precisely without guessing about hidden egress fees.
NSFW and Unrestricted Use Cases
Standard API models often refuse NSFW content, even when it is legally permissible. Our uncensored AI endpoint does not apply content filters for lawful adult themes. You can generate creative writing, roleplay, or analysis without unexpected refusals.
The hard limit is sexual content involving minors. Everything else is allowed. This makes the API ideal for developers building adult chatbots, creative writing assistants, or research tools that need raw model output. You retain full control over the context. The model will not judge your input. It simply responds based on its training data. This freedom comes at a standard token rate. You are paying for the capability, not the permission.
Abliterated Models and Bias
Abliterated models remove the training data associated with refusals, but they can still exhibit bias. Some users report that abliterated models are more opinionated than standard ones. This is because the model retains its core knowledge without the polite refusal layer. You get more direct answers.
Our model is tuned for uncensored responses. It does not default to a safe, corporate tone. If you ask for a controversial opinion, you get a direct response. This is useful for testing how a model behaves under pressure. It is also useful for creative writing where you need a specific voice. The model does not try to please you. It tries to answer you. This distinction matters for high-stakes applications.
Prepaid vs. Subscription Billing
Subscriptions force you to pay for capacity you might not use. If you build a tool that runs occasionally, a monthly fee is wasted money. Prepaid billing aligns cost with usage. You load credit, use it, and pay only for what you consume.
We accept crypto top-ups from $20 to $500. You get bonus credit for larger amounts. Your credit never expires. This means you can load funds once and use them over months. There is no penalty for inactivity. If you stop using the API, your balance remains. This flexibility is critical for developers who build tools with unpredictable traffic patterns. You avoid the lock-in of a subscription.
Developer Workflows: Ollama and Local Models
Ollama is a local client. It pulls models and runs them on your hardware. Our API is a hosted service. It runs on our servers. Both use the same OpenAI-compatible format. You can switch between them by changing the base URL.
When using Ollama locally, you manage your own hardware. You handle updates and context windows. Our API handles the infrastructure. You get a 100,000-token context window without buying a GPU. This is ideal for developers who want the convenience of a local model but the scale of a cloud service. You can use the same SDK code for both. This reduces friction during development.
Privacy and Data Usage
Your prompts are not used for training. We do not store your data indefinitely. This is critical for developers who send sensitive information to the API. You can trust that your data is not being harvested for model improvement.
We require only an email to create an account. No phone number is needed. This reduces friction for developers who want to test the API quickly. You can sign up with Google or an email password. The API key is shown immediately. This allows you to start coding within minutes. Your privacy is protected by design. We do not sell your data. We do not track your usage for advertising. Your focus remains on building your product.
