Ollama API Docs: Uncensored API Comparison

Why Choose an Uncensored API?

Uncensored APIs provide direct access to models that do not refuse lawful adult, fictional, or controversial topics. This approach removes the need to manage model-specific dependencies or fine-tune alignment layers yourself.

Our hosted service delivers an open-weight model optimized for minimal refusal. You send standard text input and receive text output without worrying about content filters blocking your workflow. The API supports streaming via SSE, function calling, and JSON mode, ensuring compatibility with modern developer stacks.

Unlike local deployments, you do not need to monitor GPU temperature or handle driver updates. The infrastructure scales automatically, allowing you to focus on building your application rather than maintaining your server.

Local Ollama vs. Hosted API: The Trade-off

Local deployment offers full data privacy and zero latency over WAN, but requires significant hardware management. You must configure CUDA drivers, Docker containers, and environment variables like OLLAMA_HOST.

Hosted APIs abstract away the hardware. You connect using a base URL and an API key, just like you would with major cloud providers. This eliminates the need for the NVIDIA Container Toolkit or managing local model files.

The trade-off is cost versus convenience. Local runs are free after hardware purchase, while hosted APIs charge per token. For occasional use or rapid prototyping, the hosted route is often faster to deploy.

Cost Comparison: GPU Hardware vs. Token Billing

Local inference costs are fixed: you buy the GPU once. Hosted billing scales with usage. Our model charges $0.15 per 1M input tokens and $0.50 per 1M output tokens. This prepaid model means errors and refusals are free, so you only pay for actual results.

For high-volume production, local hardware usually wins on price. For sporadic development or small teams, prepaid token billing avoids the overhead of idle GPU resources. You can top up with crypto starting at $20, with bonus credit available for larger deposits.

No monthly subscription locks you in. Credit never expires, allowing you to pause usage without losing funds.

Performance: Docker, CUDA, and Local Constraints

Local performance depends heavily on your CUDA version and hardware generation. Ollama supports CUDA 5.0+, but modern models perform best on Ampere architecture or newer. VLLM, for instance, requires Volta or newer.

Docker adds slight overhead but simplifies dependency management. You can use tools like Coolify to set up Ollama with Open Webgui with minimal effort. However, you must ensure the OLLAMA_HOST variable is set correctly, often to 0.0.0.0 for external access.

Hosted APIs offer consistent performance regardless of your local machine. This is crucial when you need predictable latency for real-time applications.

Decision Table: Local Ollama vs. This API

Feature	Local Ollama	Hosted Uncensored API
Setup Complexity	High (CUDA, Docker, Config)	Low (API Key + Base URL)
Cost Model	Hardware CapEx	Prepaid Token Usage
Privacy	Full Control	Prompts Not Used for Training
Context Window	Depends on VRAM	100,000 Tokens
Updates	Manual	Automatic

Technical Constraints: Context Window and Limits

Local models are constrained by your GPU VRAM. A 7B model might fit, but larger models will swap to CPU, slowing inference significantly. Our API supports a 100,000 token context window, allowing you to process large documents without local hardware limits.

The API enforces a 16,000 token max output per request. If you do not set max_tokens, the default is 2,048 tokens. This ensures predictable billing and resource allocation.

Rate limits are set to 300 requests per minute per key. This is sufficient for most development and moderate production workloads. You can use one active key per account, replacing it if needed.

Billing Transparency: Prepaid vs. Subscription

Subscription models often charge for idle time. Prepaid token billing charges only for what you use. Our credit never expires, so you can top up once and use it over months or years.

Payments are crypto-only: USDT (TRC20) or USDC (Base). You can deposit any whole amount from $20 to $500. Bonus credit is added automatically: +5% from $50, +10% from $100, and +15% from $200.

New accounts receive $0.50 in trial credit valid for 7 days. Mistakes like double charges are fixed via the Support page, but credit itself is non-refundable.

FAQ: Common Ollama API Questions

How do I use the uncensored model? Send requests to our base URL with model id "uncensored". It accepts standard OpenAI SDK parameters like temperature, top_p, and stop. The model does not refuse lawful adult or controversial topics.

Is this the official Ollama API? No. We are an independent service. Ollama is a tool for running models locally. We host a different open-weight model via an OpenAI-compatible endpoint.

What happens if I run out of credit? Requests will fail until you top up. You can add credit via crypto at any time. Your existing credit does not expire.

Do you use my prompts for training? No. We do not use your prompts for training. Your data remains private.