Key points
- Drop-in compatibility lets you switch base URLs without touching your application logic.
- Prepaid crypto credits never expire, so you own your balance forever.
- The model answers freely on adult, political, and creative topics without hidden refusals.
- Streaming, JSON mode, and function calling work exactly like the standard OpenAI SDK.
Myth: You need a complex router
You do not need a heavy routing layer to use an LLM gateway open source effectively. Many builders assume they must manage load balancing across multiple endpoints immediately. That approach adds latency and configuration overhead. A simple proxy works best for most applications. You point your SDK at one base URL. The gateway handles the rest.
Consider how OpenRouter or LiteLLM manage traffic. They route requests to different vendors based on rules. That complexity is useful for multi-model setups. But if you only need one reliable model, a direct connection is faster. We provide a single endpoint. You get consistent performance without managing a fleet of upstream providers.
Start with a direct connection. Scale to a router only when you need redundancy. Our API supports streaming via SSE. You can implement token-by-token updates with minimal code changes. This approach keeps your architecture clean. You avoid the cognitive load of maintaining a complex routing table.
Myth: Uncensored means lower quality
Uncensored models deliver high-quality text just like their censored counterparts. The difference lies in the refusal logic, not the intelligence. A censored model might refuse to discuss a controversial topic. An uncensored model will answer it directly. This matters for creative writing, roleplay, and research.
Our model is open-weight and tuned for freedom. It does not apply generic safety filters. You get raw outputs. The context window is 100,000 tokens. This allows for deep analysis and long-form generation. Output limits are 16,000 tokens per request. You can adjust the max_tokens parameter to control length.
Quality depends on the underlying architecture. We run our own servers. The model is not GPT, Claude, or Gemini. It is a distinct model tuned for unrestricted use. You can test it with a $0.50 trial. See the difference for yourself. The trial lasts seven days. This lets you verify the quality before committing.
Myth: You must pay monthly subscriptions
Monthly fees are not mandatory for AI access. You can pay exactly for what you use. Our pricing is simple. Input tokens cost $0.15 per million. Output tokens cost $0.50 per million. Errors are free. Refusals are free. You do not pay for wasted requests.
Traditional vendors often charge monthly subscriptions. These fees can add up quickly. You might pay for access you do not use. With prepaid credit, you control your spend. The credit never expires. You can top up whenever you want. There is no monthly deadline. Your balance sits there until you need it.
Payments are crypto only. You can use USDT on TRC20 or USDC on Base. Minimum top-up is $20. Maximum is $500. You get bonus credit for larger deposits. $50 gets 5% extra. $100 gets 10% extra. $200 gets 15% extra. This model favors heavy users. You keep your credit forever. No annual commitments. No surprise renewals.
Myth: Privacy is impossible with a gateway
Privacy is maintained when you control the data flow. A gateway does not have to log your prompts forever. Our model does not use your data for training. Your prompts stay private. You own your input. You own your output.
Many providers use your data to improve their models. This is a common trade-off for free tiers. With a paid gateway, you can demand stricter privacy. We do not train on your conversations. This is crucial for enterprise use. It is also important for individual developers. You want your ideas to stay yours.
Account creation requires only an email address. No phone number is needed. You get immediate access to an API key. The key is shown once. Store it securely. Use it in your SDK. The connection is standard. You can encrypt your requests. The gateway processes them and returns the result. Your data does not linger. You get full control over your usage history.
Myth: It is only for NSFW
Uncensored models are not just for adult content. They are for any topic that might trigger a filter. Political commentary, medical advice, legal analysis, and creative fiction often face restrictions. An uncensored model removes these barriers. You get the full answer.
Consider a developer testing a chatbot. They might want to explore edge cases. Censored models might refuse to answer a weird question. An uncensored model will answer it. This is useful for debugging. It is also useful for creative writing. You can generate diverse content without fighting the model.
Our model allows lawful adult use. It does not allow sexual content involving minors. This is a hard limit. Everything else is fair game. You can use it for business, education, or entertainment. The flexibility is key. You do not have to guess what will be blocked. You just send the prompt. The model responds. This reliability is valuable for any application.
Myth: You need to manage infrastructure
You do not need to manage servers or GPUs. The API is hosted for you. You focus on your application. We handle the infrastructure. This is the benefit of a managed gateway. You get the speed of self-hosting with the ease of a cloud service.
Self-hosting requires DevOps skills. You need to manage scaling. You need to handle updates. You need to monitor latency. A managed API removes these burdens. We manage the load. We handle the scaling. You just send requests.
Our API supports 300 requests per minute per key. You can run 8 requests simultaneously. The request body limit is 8 MB. This is enough for most applications. If you need more, you can scale your key usage. The infrastructure is robust. You do not need to worry about downtime. We handle the heavy lifting. You get a reliable endpoint. This allows you to focus on building your product. Not managing servers.
Myth: Pricing is opaque
Pricing is transparent and predictable. You pay per token. There are no hidden fees. The rates are $0.15 per million input tokens and $0.50 per million output tokens. This is clear. You know exactly what you pay.
Many vendors have complex pricing tiers. They charge for features. They charge for bandwidth. We charge only for tokens. Errors are free. Refusals are free. You do not pay for bad requests. This is fair. You pay for value. The value is the text generated.
Prepaid credit means you control your budget. You top up when you want. You spend what you have. There is no surprise bill at the end of the month. The credit never expires. You can save up for a big project. You can spend slowly. The flexibility is yours. This model is simple. It is easy to understand. It is easy to plan for.
Myth: Open source is the only way
Open source is not the only path to trust. You can trust a closed model if the pricing is fair. You can trust a hosted service if the privacy is good. Open source gives you transparency. But it also gives you complexity. You have to run the model. You have to manage the resources.
Our model is open-weight. This means the weights are available. You can inspect the architecture. You can run it locally if you want. But you can also use our API. This gives you the best of both worlds. You get the freedom of open source. You get the ease of a hosted service.
Trust is built on transparency. We show our pricing. We show our limits. We show our features. You do not have to guess what is happening. The API is standard. The endpoints are documented. The behavior is predictable. This is enough trust for most developers. You do not need to fork the code. You just use it.
