What Does It Cost to Run Dolphin Uncensored AI?

The cost in one table

The cost depends on how you run the model, and on how many tokens you push through it each month. Hardware costs the same whether it is busy or idle. A per-token API costs nothing when you send nothing. That single difference decides most of the comparison.

The table uses assumed inputs for the self-hosted rows, because hardware prices and electricity rates vary a lot. Replace them with your own numbers, and check current pricing from any GPU rental service before you decide.

Route	Assumption	Monthly cost
Rented GPU, always on	$0.50 per hour x 720 hours	$360.00
Rented GPU, 8 hours a day	$0.50 per hour x 240 hours	$120.00
Owned GPU, always on	$1,600 over 24 months, plus power	about $117
Hosted API, 10M in and 2M out	$0.15 and $0.50 per 1M tokens	$2.50

Renting a GPU

Renting is the easiest way to run an open-weight model without buying hardware. You pay an hourly rate, so the monthly bill is rate x hours. At an assumed $0.50 per hour, a machine that stays on for a 30-day month (720 hours) costs 720 x $0.50 = $360. If you only start it for work sessions, 8 hours a day for 30 days is 240 hours, or $120.

Two things add to that. First, storage and bandwidth are often billed separately. Second, you pay while the model loads and while it sits idle between your requests. A bot that answers ten messages an hour still holds the whole machine.

Owning a GPU

Buying a card moves the cost into two parts: the purchase price spread over its life, and electricity.

• Purchase. Assume $1,600 for a card with enough memory, kept for 24 months: $1,600 / 24 = $66.67 per month.
• Electricity. A system drawing 350 W under load uses 0.35 kW x 720 h = 252 kWh in a month. At an assumed $0.20 per kWh that is $50.40. Idle draw is lower, so a part-time machine costs less.

Together: $66.67 + $50.40 = $117.07 per month, before the rest of the computer, cooling and your time. Memory is the other limit. As a rule of thumb, weights need roughly one gigabyte per billion parameters at 8-bit precision and about half of that at 4-bit, plus room for the context cache. Bigger models or long contexts push you toward multiple cards or smaller quantizations. For background on what these models are, see Uncensored AI: Myths vs Facts.

What the hosted API costs, with worked examples

The hosted API charges $0.15 per 1M input tokens and $0.50 per 1M output tokens, from prepaid credit. There is no subscription, credit never expires, and failed or refused requests are not charged. The formula is: input tokens / 1,000,000 x $0.15, plus output tokens / 1,000,000 x $0.50.

A light personal user

200 chats a month, each with 1,500 tokens in and 400 out. Input is 300,000 tokens: 0.3 x $0.15 = $0.045. Output is 80,000 tokens: 0.08 x $0.50 = $0.04. Total: $0.085 per month.

A heavy hobby project

10M input tokens and 2M output tokens. Input: 10 x $0.15 = $1.50. Output: 2 x $0.50 = $1.00. Total: $2.50.

A busy small service

500M input tokens and 100M output tokens. Input: 500 x $0.15 = $75. Output: 100 x $0.50 = $50. Total: $125 for 600M tokens.

Top-ups run from $20 to $500 in whole dollars, with a +5% bonus from $50, +10% from $100 and +15% from $200. See pricing for the details.

Where the lines cross

To compare fairly, convert both sides to tokens per month. Assume a mix of three input tokens for every output token. A million tokens in that mix costs 0.75 x $0.15 + 0.25 x $0.50 = $0.1125 + $0.125 = $0.2375.

• A $360 always-on rental equals about 1,516M tokens a month on the API, since $360 / $0.2375 is roughly 1,516 (millions).
• The owned-card figure of $117.07 equals about 493M tokens a month.

Below those volumes, the API is cheaper on pure running cost. Above them, and only if the hardware stays busy, self-hosting wins on price. Your mix will differ: chat with short replies leans toward input tokens, while story generation leans toward output, which costs more per token.

Input-heavy and output-heavy workloads

Output tokens cost 3.33 times as much as input tokens here ($0.50 against $0.15), so the shape of your traffic matters as much as its size.

• Summarizing long documents. 20,000 tokens in and 800 out per document: 20,000 / 1M x $0.15 = $0.003, plus 800 / 1M x $0.50 = $0.0004, so $0.0034 per document. A thousand documents cost $3.40.
• Writing long fiction. 500 tokens in and 3,000 out per scene: $0.000075 + $0.0015 = $0.001575 per scene. A thousand scenes cost $1.575.
• Long chat histories. The whole history is sent again each turn, so input grows turn by turn. A 60,000-token history with a 500-token reply costs $0.009 + $0.00025 = $0.00925 for that single turn.

Self-hosting does not escape this. Long prompts and long outputs cost you time and memory instead of tokens. The difference is that on a rented or owned machine the bill stays flat, while on the API you see exactly which workload spends the money.

Hidden costs and a decision rule

• Setup time. Drivers, runners, templates and updates take hours, and hours have a price.
• Throughput. One local card serves requests one after another or in small batches. The hosted full key allows 8 concurrent requests and 300 per minute.
• Idle waste. Utilization of 20% means you pay five times the headline cost per useful token.
• Context size. Long prompts need more memory locally. The hosted window is 100,000 tokens, prompt plus completion.

There are also reasons to run locally that have nothing to do with money, such as keeping data on your own disk. Those can be worth the premium.

Deciding

Estimate your monthly tokens. If the total is under a few hundred million, use the API and stop worrying about hardware. If you are far above that, run the same maths with your own hourly rate and electricity price, and add a realistic utilization figure. If you have a hard requirement that data never leaves your machine, run locally and treat the bill as the price of that requirement.

Most hobby and small-product users land in the first group, where the whole month costs less than a coffee.

Check the numbers with a small test

Before you commit to hardware, measure your real token use. Send a few days of real work through the API and read the usage block in each response. New accounts can claim $0.50 of trial credit on the API key page, which at the 1,500 in / 400 out chat size above is enough for roughly 1,170 requests (each costs $0.000425). A request looks like this:

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.dolphinuncensoredai.com/v1", api_key="YOUR_KEY")
r = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarize the plot of Hamlet in five sentences."}],
)
u = r.usage
cost = u.prompt_tokens / 1e6 * 0.15 + u.completion_tokens / 1e6 * 0.50
print(u.prompt_tokens, u.completion_tokens, round(cost, 6))

Multiply the printed cost by your expected monthly request count. The documentation shows the response format and the balance header.

More guides

• Dolphin Uncensored AI App vs a Hosted API
• Uncensored AI: Myths vs Facts

Fact: Dolphin delivers powerful, unrestricted answers

Dolphin is an open-weight model family designed explicitly for unrestricted dialogue. It retains the strong instructional capabilities of its base architecture while removing the tendency to refuse lawful adult or controversial topics. This makes it ideal for NSFW content creation, roleplay, and sensitive data analysis.

Our hosted API serves the "uncensored" variant of this model. It is not a custom proprietary model from another vendor. It is a specific tuning of an open-weight architecture. You get the benefits of a large context window (100k tokens) with the freedom to push boundaries. The model answers directly. It does not hedge. It does not lecture. This consistency is why many developers switch from commercial APIs to dedicated uncensored endpoints.

Myth: You need to run it locally for privacy

Local deployment guarantees your prompts never leave your machine, but it demands expensive hardware and technical maintenance. Running a 70B parameter model locally requires massive VRAM and careful quantization. For most developers, the trade-off is not worth it.

Hosted APIs offer a middle ground. Many providers, including ours, use a no-training policy. Your prompts are processed in memory and discarded. They are not used to fine-tune future models. This provides sufficient privacy for most business and creative use cases without requiring you to buy a $3,000 GPU. You get the speed of the cloud with the privacy of a dedicated instance.

Fact: Hosted APIs with no-training policies exist

Not all hosted APIs are created equal. Some commercial providers use your data to train their next-generation models. This is a risk if your prompts contain proprietary code or sensitive creative work. Dedicated uncensored providers often operate on a simpler model: you pay for compute, they do not claim ownership of your data.

Our API uses a straightforward no-training approach. We process your requests and return the output. We do not scrape your conversations. This transparency is crucial for NSFW creators who want to know their content stays theirs. You can use the same OpenAI-compatible SDKs you already know. The integration is seamless. The privacy is guaranteed by policy, not just hope.

Myth: Uncensored AI is expensive

Premium closed models charge a premium for their brand and marketing. Uncensored APIs cut out the middleman. By using open-weight models and direct inference, costs drop significantly. You pay for tokens, not for a subscription to a polished dashboard.

Our pricing reflects this reality. Input tokens cost $0.15 per million. Output tokens cost $0.50 per million. This is often cheaper than the per-token cost of GPT-4 or Claude. You only pay for what you use. There are no monthly fees. If you do not use the API, you do not pay. This model works for both high-volume scrapers and occasional creators.

Fact: Token pricing is often cheaper than GPT-4

When you break down the cost per token, uncensored APIs frequently undercut commercial leaders. GPT-4o charges significantly more for similar output lengths. For heavy users generating thousands of messages, this difference adds up quickly. Our rates are transparent and fixed.

There are no hidden fees for streaming. There are no extra charges for function calling. The price you see is the price you pay. Prepaid credit ensures you control your spend. You can top up with crypto whenever needed. The math is simple. You get more output for your dollar. This efficiency is why many developers build their own interfaces around these APIs instead of paying for expensive third-party platforms.

Myth: All refusals are removed

"Uncensored" does not mean "lawless." Most models still retain hard blocks on illegal content, particularly child sexual abuse material (CSAM). This is often a legal requirement for the data centers or the model weights themselves. You will get adult content, violence, and political controversy, but you will not get CSAM.

This is a critical distinction. If you need a model that will refuse nothing, even illegal content, you might need a specialized fine-tune. For 99% of NSFW and creative use cases, the standard uncensored model is perfect. It removes the annoying "I am an AI assistant" disclaimers. It allows mature themes. It does not censor your creativity. Just know that the hard limit remains in place.

Myth: Crypto payments are complicated

You do not need to share your banking details. Transactions are instant. Our support for USDT on TRC20 and USDC on Base makes funding your account simple. You send the exact amount you want. The credit appears in your account immediately.

There are no monthly subscriptions to manage. No auto-renewal traps. You pay $20 to $500 per transaction. Bonus credit is added automatically for larger top-ups. You get 5% extra for $50, 10% for $100, and 15% for $200. The process is transparent. You can see your balance in real-time. No bank holds. No disputed charges. It is the purest form of digital payment for digital services.

Fact: USDT/USDC top-ups are instant and simple

Topping up takes seconds. You select your amount, copy the wallet address, and send your crypto. The system detects the transaction and credits your account. There is no waiting period. No manual review. No paperwork. This speed is essential for developers who need to spin up tests or launch campaigns instantly.

We support whole dollar amounts from $20 to $500. This range covers most individual developer needs. If you need more, contact support. The bonus structure rewards volume. You keep your credit forever. It never expires. You can use it next month or next year. This flexibility gives you total control over your budget. No surprises. No hidden fees. Just simple, direct payment for simple, direct API access.