Is this Grok with the filters removed?

No. It is a separate open-weight model run by an independent provider. It has no connection to xAI and does not call Grok.

Will my existing OpenAI code work?

In most cases yes. Change the base URL, the key and the model ID to uncensored. Check any provider-specific parameters you use against the docs.

Is there a model choice?

No, there is one model ID, uncensored. The service is text only, with a 100,000 token context window.

Can I try it without paying?

Yes. After sign-up with Google or email and password, one click on the API key page claims $0.50 of trial credit. It is valid for 7 days and needs no payment details.

Are there content limits at all?

The model is tuned to answer without content refusals for lawful adult use. Sexual content involving minors is not allowed under any circumstances.

Uncensored Grok Alternative: A Hosted OpenAI API

What an alternative can and cannot be

People look for an uncensored grok alternative for a few common reasons. A story keeps getting cut off by refusals. A companion or roleplay app needs a model that stays in character through dark or mature themes. A team wants a plain API with prepaid credit rather than a subscription. Each reason points at a different feature, so it helps to be clear about which one drives your choice.

What this service offers is one open-weight model, run by an independent provider and tuned to answer without content refusals for lawful adult use. It is not Grok, it is not hosted by xAI and it is not a router that forwards your prompt to another vendor's model. If you need Grok's own capabilities, such as its particular knowledge or its integration with xAI products, an alternative cannot supply them. If you need an endpoint that follows your instructions on fiction, role and tone, it can.

One limit applies to everyone: no sexual content involving minors. That is not configurable.

What you get from this API

The surface is deliberately small. Two methods, one model ID, standard OpenAI request and response formats.

Item	This API
Compatibility	OpenAI-compatible, works with any OpenAI SDK
Endpoints	`POST /v1/chat/completions`, `GET /v1/models`
Model ID	`uncensored`
Context window	100,000 tokens, prompt plus completion
Features	Streaming (SSE), tool calling, JSON mode, sampling parameters
Not offered	Images, audio, video, embeddings, fine-tuning
Price	$0.15 per 1M input tokens, $0.50 per 1M output tokens
Billing	Prepaid credit, no subscription, credit never expires

Sampling controls such as temperature, top_p, stop, seed and the penalties are passed through. Failed or refused requests are not charged. Prompts are not used for training.

Where Grok may be the better choice

A fair comparison names the cases where you should stay put. Check xAI's current documentation and pricing for the details of Grok, because they change and this page does not state them.

You need Grok specifically. If your product promise is built on that model's behaviour, a different model will behave differently. Prompts tuned for one model often need rework on another.
You need more than text. This service returns text only. If you need image generation, embeddings or fine-tuning in the same account, look elsewhere or run two providers.
You need a choice of models. There is one model ID here. A tool that switches between a small fast model and a large one has nothing to switch to.
You need a vendor with a public enterprise track record. This is an independent provider. If procurement needs formal assurances, ask for them before you commit.

On the other side, the cases where a hosted open-weight endpoint fits well are narrower and clearer: fiction and roleplay tools, companion apps for adults, prompt testing against a model that does not refuse, and back-end jobs that need JSON output with few surprises.

Switching in two changes

If your code already calls an OpenAI-style API, moving takes two edits: the base URL and the key, plus the model name. Everything else in the request stays as it is. Start with a curl test.

export API_KEY="paste-your-key-here"

curl https://api.grokuncensored.cc/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [
      {"role": "system", "content": "You write gritty noir fiction for adult readers."},
      {"role": "user", "content": "Open a scene in a rain-soaked harbour office."}
    ]
  }'

Then the same thing through the Python SDK, with streaming turned on:

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.grokuncensored.cc/v1", api_key=os.environ["API_KEY"])

for chunk in client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Continue the harbour office scene."}],
    stream=True,
):
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Tool calling follows the same tools and tool_choice fields, with results returned as role: "tool" messages. Keys come from the API key page, and the quickstart lists every supported parameter. If you work with Google's open models, the uncensored Gemma integration page covers a related setup.

A decision checklist before you switch

Use this list to decide whether a move makes sense. Answer each item with your own workload in mind, not with general impressions.

What exactly gets refused today? Write down five real prompts. If the refusals are about lawful adult fiction or roleplay, an endpoint tuned to answer without content refusals addresses the problem. If they are about something illegal, no reputable provider will help, and this one has a fixed rule against sexual content involving minors.
Is text enough? If your pipeline needs images or embeddings from the same vendor, you will have to run a second service.
Is one model enough? The single model ID means no automatic fallback to a smaller or larger model. You can build routing in your own code, but there is only one model here to route to.
How long are your prompts? The context window is 100,000 tokens for prompt plus completion. For most chat and story work that is generous. For very large document sets you may need to split inputs.
How will you pay? This site takes crypto only: USDT on TRC20 or USDC on Base. If your team cannot pay that way, the service will not fit regardless of quality.
Can you tolerate rate limits? A full key allows 8 concurrent requests and 300 per minute. High-volume batch work may need queuing on your side.

If most answers come out in favour, run the migration pass above with a trial key before you move any production traffic. The trial costs nothing and lasts 7 days.

Port your prompts, not just your endpoint

Changing the URL is the easy part. Prompts tuned for one model rarely transfer unchanged. Plan a short migration pass.

Collect twenty real prompts from your logs, including the ones that failed or got refused before.
Run them side by side. Send each prompt to both services with the same system message and temperature, and read the outputs yourself.
Adjust the system message. Open-weight models often respond well to a direct description of role, tone and length. Remove workarounds you added to get past refusals; they are no longer needed and can make replies awkward.
Set a seed and a low temperature for any step that must be repeatable, such as structured extraction.
Check JSON output with response_format set to json_object and validate every reply in code.

Keep the old provider switchable by configuration for the first weeks. A single environment variable that holds the base URL is enough.

A note on responsibility

Choosing a model that does not refuse by default shifts some duties to you. The model will not act as your content policy. If your product is public, define what it permits, say so in your terms, and add age checks where adult themes appear. Log enough to investigate abuse reports, and decide how you will respond to them.

This is also practical protection for the project itself. A service that accepts a wide range of lawful adult content works best when the application on top is clear about audience and purpose. Keep roleplay and fiction features clearly framed for adults, and keep the one hard rule in mind: no sexual content involving minors, under any framing or fictional excuse.

Cost and limits you should plan for

Billing is prepaid and per token. A call with 2,000 input tokens and 500 output tokens costs 2,000 x $0.15 / 1,000,000 = $0.0003 plus 500 x $0.50 / 1,000,000 = $0.00025, so $0.00055. At 100,000 such calls the total is $55. Compare that with your current bill using the prices from your current provider, which you should check on their own pricing page.

Top-ups run from $20 to $500 in whole amounts. Larger amounts carry a bonus: +5% from $50, +10% from $100 and +15% from $200, so $200 becomes $230 of credit. Payment is in crypto, with USDT on TRC20 or USDC on Base. New users can claim $0.50 of trial credit with one click on the API key page after sign-up, valid for 7 days, no payment details needed. Details are on the pricing page.

Rate limits for a full key are 8 concurrent requests and 300 per minute. A trial key gets 2 and 60. If you exceed them the API returns HTTP 429 with the code rate_limited or concurrency, and a temporary overload returns 429 with Retry-After: 5. Build a retry with a short wait into your client from the start.