Is There a Chat GPT Without Filter? An Honest Answer

The direct answer

So, is there a chat gpt without filter? Not from OpenAI. The official ChatGPT applies its own content rules, and as far as we know no switch, setting or paid plan turns them off; check OpenAI's current policy. Prompts that try to trick it into ignoring those rules are unreliable and may break the service's terms.

What does exist is a different group of products: uncensored language models. These are open-weight models, trained or tuned so they do not refuse lawful adult requests. They are not ChatGPT and not made by OpenAI. You reach them in three ways: run one on your own computer, use a chat website that hosts one, or call a hosted API from your own code. The rest of this page explains the third option, which is what this site offers.

Why the official ChatGPT has filters

A company that serves a very large public audience has to think about harm, law and reputation. Filters are the result: the model is trained to decline some requests, and extra checks may sit around it. The rules are the company's choice and apply to everyone, including adults writing fiction or researching sensitive but lawful topics.

Users who run into those rules often see the same patterns: a story stops at a dark turn, a character breaks voice to add a note, or a plain question gets a hedged reply. That is the gap uncensored models fill. They do not make a model smarter. They remove the refusal behaviour so the answer follows your instructions.

Three ways to get a model without filters

1. Run it locally. Download an open-weight model and run it with tools such as Ollama or llama.cpp. You keep everything on your machine. The cost is hardware: good results need a capable GPU, and larger models need a lot of memory.
2. Use a chat website. Quick and free in many cases, but you get a text box only, with caps and a data policy you have to read yourself.
3. Call a hosted API. You send requests from code and pay per token. No hardware, and any app that speaks the OpenAI format can use it.

If you only want to try the idea, the web route is fastest. If you are building something, or you want to use the model from tools you already own, an API is easier to live with than either of the other two.

On hardware: a model's memory need grows with its size, and long context adds more. A small model fits on a gaming-class GPU, while the larger ones people prefer for writing need much more memory than a single consumer GPU provides. That gap is why many people choose a hosted API even when they like the idea of running their own.

What this site offers

This site hosts an API in front of 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 OpenAI, Anthropic, Google or any other vendor, and it is not a router that picks between vendors. Key facts:

• OpenAI-compatible: change the base URL to https://api.gptsemfiltro.com/v1, use your key and set the model to uncensored.
• Context window of 100,000 tokens, prompt and completion together.
• Streaming, tool calling and JSON mode.
• Text only. No images, audio, video, embeddings or fine-tuning.
• Pay as you go: $0.15 per 1M input tokens and $0.50 per 1M output tokens, no subscription, credit never expires, failed or refused requests not charged.
• Prompts are not used for training.

Try it in two minutes

Open the API key page, sign up with Google or with email and password, and claim the trial: $0.50 of credit with one click, valid for 7 days, one per person, no payment needed. Then run:

Copycurl https://api.gptsemfiltro.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [
      {"role": "user", "content": "Write the first paragraph of a gothic story set in a flooded cathedral."}
    ]
  }'

If you prefer Python, install the official library and change two values:

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.gptsemfiltro.com/v1", api_key="YOUR_KEY")
resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Write the first paragraph of a gothic story set in a flooded cathedral."}],
)
print(resp.choices[0].message.content)

Many apps that let you add a custom OpenAI-compatible endpoint also work; paste the base URL and key into their settings. The documentation shows the available endpoints.

What to expect, and what not to

Expect answers that follow your instructions on lawful adult topics: fiction with darker themes, role-play, frank discussion and drafts that a filtered assistant would soften. Expect the quirks of any language model, too. It can be wrong, it can invent facts and it has a knowledge cutoff.

Do not expect it to be ChatGPT. It is a different model with its own strengths. Test it on your own prompts before relying on it. And do not expect every request to succeed: sexual content involving minors is a hard limit and is never produced, and over-limit requests return HTTP 429. A full key allows 8 concurrent requests and 300 per minute; the trial key allows 2 and 60.

Common worries and getting better answers

Common worries before you try one

Is the quality worse? It depends on the task. A single open-weight model will not match every strength of a large flagship, and it is worth testing on your own prompts. Where it helps is when a filtered assistant refuses, so you get an answer in place of a refusal.

Is the text private? Prompts sent to this API are not used for training. As for any online service, avoid pasting passwords, ID numbers or other secrets. The privacy page has the written policy.

Will it write anything at all? No. It is tuned to answer lawful adult requests. Content involving minors is a hard limit, and the model can still fail or decline on tasks it cannot do.

Is there an app? This is an API, not a chat app. If you want a chat window, many open-source and commercial chat front ends accept a custom OpenAI-compatible endpoint, and you paste the base URL and key into their settings.

What about the cost? Light users spend very little. At $0.15 per 1M input and $0.50 per 1M output tokens, 100 chat turns of 2,000 input and 500 output tokens cost 100 x $0.00055 = $0.055.

Getting better answers from a model without refusals

A few habits improve results a lot:

• Describe the setting and the tone in a system message once.
• Ask for a specific length and point of view.
• Keep the conversation history, but trim it when it grows. The window is 100,000 tokens, and old messages cost input tokens each time.
• Raise temperature to about 0.9 for stories and lower it to about 0.3 for factual questions.

With these in place, the same model that seems rough in a bare chat often reads like a different tool.

Using it responsibly

Without a platform filter, the responsibility moves to you. Use it for lawful adult purposes only. If you build a product on it, add an age gate where it applies, state your rules in the system prompt and check what the model produces. Keep your key private and replace it from the API key page if it leaks; the old key stops working at once.

For typical costs: a conversation turn with 2,000 input tokens and 500 output tokens costs $0.0003 + $0.00025 = $0.00055, so $20 of credit covers about 36,000 such turns. Top-ups run from $20 to $500 in crypto (USDT on TRC20, USDC on Base); see the pricing page. A related guide, common mistakes with uncensored chat GPT, lists errors people make in their first week.

More guides

• ChatGPT API Documentation: Quick Reference and First Calls
• Uncensored Chat GPT: Common Mistakes