Best Uncensored AI API: What to Compare

The comparison table to fill in

Copy this into a spreadsheet and fill it in for each provider you consider. The right column shows the answers for this API, so you can see what a filled row looks like.

Question	Why it matters	This API
Price per 1M tokens, input and output	Sets your cost at scale	$0.15 input, $0.50 output
Billing model	Predictability, waste	Prepaid credit, no subscription, never expires
Context window	Memory, long documents	100,000 tokens, prompt plus completion
Compatibility	Migration effort	OpenAI-compatible; change base URL and key
Payment methods	Can you pay at all	Crypto: USDT on TRC20, USDC on Base
Concurrency and rate limits	How many users at once	Full key: 8 concurrent, 300 per minute
Features	Streaming, tools, JSON	All three supported
Data use	Privacy	Prompts are not used for training
Hard limits	What is banned	No sexual content involving minors

For the best uncensored AI API on your list, no row should be a surprise. A blank cell is a risk, so ask the provider to fill it before you build.

What uncensored means in practice

An uncensored API serves a model that is tuned to answer lawful requests that mainstream assistants often decline. It does not mean the model has no rules. Every serious provider keeps at least one hard limit, and so does this one: no sexual content involving minors. Many also ban illegal uses in their terms.

The useful question is therefore where the lines are, and who draws them. Read the terms. The terms page and the privacy page here describe what is allowed and how data is handled. Also decide where your own product will draw its lines, because a model without refusals leaves moderation of your users to you.

Who runs the model

Providers differ more in who they are than in what they call themselves. A vendor's official API serves that vendor's own models with that vendor's policy. A router forwards your request to one of several upstream vendors. An independent host runs an open-weight model on its own servers.

This service is the third kind. It serves one open-weight model, run by an independent provider and tuned to answer without content refusals for lawful adult use. It is not the official API of Meta, Mistral, Qwen, DeepSeek, OpenAI, xAI, Google, Anthropic or any other vendor, and it is not a router. That has consequences: the model does not change from request to request, and you cannot pick between several models here.

Price, and how to compare it honestly

Compare cost for your own workload, not the headline rate. Pick a typical request, such as 2,000 input tokens and 400 output tokens, and compute it for each provider. Here it is 2,000 x $0.15 / 1,000,000 = $0.0003 for input plus 400 x $0.50 / 1,000,000 = $0.0002 for output, so $0.0005 per request, and 1,000 such requests cost $0.50.

Then check each other provider's current pricing for the same sum. Do not rely on a blog post's numbers, including this one, since prices change. Also compare what happens on failure: here, failed or refused requests are not charged. The pricing page has the top-up details: any whole amount from $20 to $500, with +5% from $50, +10% from $100 and +15% from $200.

Compatibility and migration

If you already use an OpenAI SDK, an OpenAI-compatible provider is a two-line change. This one supports POST /v1/chat/completions, POST /v1/responses and GET /v1/models, with streaming, tool calling and JSON mode. Parameters such as temperature, top_p, stop, seed and the penalties are passed through.

Check support for the features you rely on. Ask about tool calling, streamed tool calls, JSON mode and usage reporting at the end of a stream. Compatibility often fails at the edges, so test those.

Scoring candidates and questions to ask

Here is how to turn the table into a decision. The numbers below are invented to show the method. Do not read them as results about any real provider.

Weights (out of 10 total): price 3, context 2, compatibility 2, limits 2, payments 1. Score each candidate from 1 to 5 on each point.

Point	Weight	Candidate A	Candidate B
Price	3	4	3
Context	2	5	3
Compatibility	2	5	5
Limits	2	3	4
Payments	1	2	5

Candidate A: 3 x 4 + 2 x 5 + 2 x 5 + 2 x 3 + 1 x 2 = 12 + 10 + 10 + 6 + 2 = 40. Candidate B: 3 x 3 + 2 x 3 + 2 x 5 + 2 x 4 + 1 x 5 = 9 + 6 + 10 + 8 + 5 = 38. A edges out B, but the gap is small, so the next step is a real test on your prompts, not a paper decision.

Notice that payments carry a weight of only 1 here. If crypto is the only thing you cannot do, set that weight to a veto instead. A provider you cannot pay is a zero, whatever its other scores are.

Send these to the support address of every candidate and note how clearly they answer. Vague answers to concrete questions are information too.

• Which model do you run, and who operates it?
• Do you log prompts, for how long, and are they used for training?
• What are the rate and concurrency limits for a paid key?
• Are failed requests billed?
• Does credit expire, and is any part of it refundable?
• Which uses do your terms ban?
• What happens on overload: queueing, errors, a retry header?

For this API the answers are: one open-weight model run by an independent provider; prompts are not used for training; 8 concurrent requests and 300 per minute on a full key; failed or refused requests are not charged; credit never expires; sexual content involving minors is banned; and on temporary overload it returns HTTP 429 with Retry-After: 5. The docs and the policy pages hold the details. If you find a gap between what a provider says and what its pages say, believe the pages and ask for the difference in writing.

Run the same test on every candidate

This script sends the same prompt to this API and prints timing and token use. Point BASE and KEY at another OpenAI-compatible provider to compare, and change the model name for it.

Copyimport time
from openai import OpenAI

BASE = "https://api.bestuncensored.com/v1"
KEY = "YOUR_KEY"
MODEL = "uncensored"

client = OpenAI(base_url=BASE, api_key=KEY)
prompts = [
    "Write a tense two-paragraph scene between two adult characters at a border checkpoint.",
    "Return a JSON object with fields name, age and goal for a fictional adult character.",
]

for p in prompts:
    t = time.time()
    r = client.chat.completions.create(
        model=MODEL,
        messages=[{"role": "user", "content": p}],
        temperature=0.7,
        seed=42,
    )
    print(round(time.time() - t, 2), "s", r.usage.prompt_tokens, r.usage.completion_tokens)
    print(r.choices[0].message.content[:300], "\n")

Get a key on the API key page. The trial gives $0.50 of credit for 7 days with no payment, which is plenty for this kind of test. Read outputs yourself. A single timing from one run says little, so repeat it at different times of day.

Where this API is not the right pick

It is text only: no images, audio, video, embeddings or fine-tuning. It offers one model, so if you want to try a different model per task, look elsewhere. It takes crypto only, which suits some teams and rules out others. If any of those is a deal breaker, the table above has already told you. For a wider comparison of options, the uncensored AI options compared article is a good companion.

More guides

• Uncensored AI for Developers: Build Without Refusals
• Uncensored AI: The Best Options Compared