Tartarus AI Fast
Quick answers for everyday questions.
Answers immediatelySampling tuned against repetition
- Writing and rewriting
- Summaries
- Explanations
- Everyday questions
Included with Basic, Standard, Pro, Ultra
Three models · no output filter · OpenAI-compatible API
Tartarus AI runs models with reduced refusal training and no moderation filter reading the output, so legitimate work stops being a category to argue about. Three models including a reasoning model and one tuned for code, context up to 200K tokens, cited web search, and an API that speaks the format your tools already use.
From $20 a month, prepaid in crypto. No card, no auto-renewal. Conversations are never used for training.
Context figures are the plan ceiling. A quarter of the window is held back for the reply, so Pro accepts about 147K tokens of prompt, and the browser trims older turns to fit rather than failing the request.
The claim
A hosted AI assistant built on open-weight models we run ourselves. The models have had their refusal training reduced, there is no moderation classifier between you and the reply, and the system prompt does not add a second layer of restrictions on top.
That is one specific change to one specific layer. Everything else about the product is deliberately ordinary, because the positioning only matters if the assistant is actually good: it has to hold a long thread, follow a format, and write code that runs.
The limits
It is not a promise of any particular output, and it is not the absence of rules. We do not permit material that sexualises minors, direct assistance attacking systems you do not own, or use of the service to defraud or threaten real people. That list is short, it is published, and it does not move.
Reduced refusal also does nothing for accuracy. A model that will answer a question it once declined is not better informed about it, and a confident wrong answer is more dangerous than a refusal was.
The problem
A refusal-trained model reads intent from surface features, and a great deal of ordinary professional and creative work has the surface features of something else. Every row below is legal.
Reading a malware sample, writing a detection, testing a system you are paid to test
Refused elsewhere Answered here
An antagonist who stays unpleasant, violence that happens on the page, moral ambiguity
Refused elsewhere Answered here
The actual considerations on a health, legal or financial decision you are already making
Refused elsewhere Answered here
Extremism, propaganda, abuse and drug policy, all of which somebody has to study
Refused elsewhere Answered here
Writing for adults, by adults, about adults
Refused elsewhere Answered here
The cost is not any single refusal. It is that you stop trusting the assistant with a whole category of work, and it becomes useful only for the easy half of your job.
Capabilities
The parts that decide whether an answer is usable: how it arrives, where it came from, and what happens when you want to try a second approach.
The models are configured so refusal is not what you spend the session negotiating with, and no moderation classifier reads the output. Legitimate work stops being a category to argue about.
Replies arrive token by token over SSE, with a stop control that actually stops generation upstream rather than just closing your tab’s connection.
On reasoning models the thinking is streamed separately and shown in a collapsible panel. It is never spliced into the answer, so the reply you copy is the reply you asked for.
When a question needs current information the model searches and reads pages, and every source it used is listed above the reply. No unattributed claims about this week.
Edit a message or regenerate a reply and the old one is kept as a sibling behind a ‹ 2/3 › switcher. Exploring a second approach never costs you the first.
The Pro plan mints API tokens for an OpenAI-compatible endpoint. Set two environment variables and existing tools, SDKs and editor integrations work without a code change.
Plans are prepaid in USDT, Bitcoin, Ethereum, Litecoin, Tron or Monero. There is no card on file, no stored billing profile and no recurring charge to cancel.
Search across your conversation titles, pinning for the ones you return to, rename, and a soft delete that gives you a way back.
Each plan carries a weekly token budget and a five-hour session budget of 2M, 8M or 20M tokens. You are never billed per request, so there is no reason to think twice before asking.
Models
All three are configured the same way on refusal. They differ in whether they think before answering, and in what their sampling is tuned for.
Quick answers for everyday questions.
Answers immediatelySampling tuned against repetition
Included with Basic, Standard, Pro, Ultra
Thinks before answering. Built for hard problems.
Thinks firstReasoning on its own channel
Included with Pro, Ultra
Thinks a little before answering. A good default.
Thinks firstLeaves repetition alone
Included with Standard, Pro, Ultra
For developers
The API implements the OpenAI chat completions format, which became the de facto interface for language models. Existing clients, SDKs, editor plugins and agent frameworks work against it with two environment variables changed.
That is also an exit route. Work that runs through a standard interface can be pointed somewhere else with a configuration change, which is the right amount of commitment to ask of someone still evaluating.
export OPENAI_BASE_URL=https://api.tartarusai.chat/api/v1
export OPENAI_API_KEY=<your token>
# every OpenAI client now targets Tartarus AI
client.chat.completions.create(
model="coder",
messages=[...],
stream=True,
)Reliability
Requests land on a pool of GPU boxes we run and health-check every thirty seconds. Three consecutive failed probes take a box out of rotation; two good ones put it back. None of that is visible from the outside, which is the point of building it.
The browser and the CLI reach the same API, which checks the token, the plan's quota and the rate limit before anything touches a GPU. Behind it sits a pool whose members are health-checked continuously; an unhealthy box is dropped from rotation and the request never sees it.
Up to three upstream attempts, but only before the first token has reached you. Once you are reading a reply it is never silently retried somewhere else, so you never get an answer that duplicates or contradicts the one you already read. If a box dies mid-stream the turn ends with an error and the text produced so far is kept.
Background reading
This is a market with a lot of thin products and a lot of overpromising. These pages are written to be useful whether or not you end up paying us anything.
Getting started
Email and a password, or Google. Verify the address and you are in.
Prepay one, three or twelve months in crypto. Active as soon as the payment confirms.
Choose a model, type, and read the answer as it streams.
Pricing
Flat weekly token budgets rather than a per-request meter, so there is never a reason to hesitate before asking. Prepaid in crypto, with no card on file and nothing that renews on its own.
$20 / month
Everyday chat, one model.
$40 / month
A model that thinks, and room to work.
$60 / month
Every model, plus the API and CLI.
$100 / month
For work that runs all day.
FAQ
The rest are on the FAQ page.
It is the only evaluation that settles it. An account takes a minute and a plan takes one payment.