OpenAI API Pricing: How Much Does Uncensored Inference Cost?
OpenAI API pricing structures token costs by input and output volume, but uncensored inference often carries different overheads. We break down the real math behind token usage, streaming, and function calling to help you calculate your true monthly spend without hidden fees.
Summary
- Standard APIs charge for both input and output tokens, with output often costing more than input.
- Streaming and JSON mode do not change the token count but affect how you process data in your SDK.
- Function calling adds overhead by requiring the model to output tool instructions before the final answer.
- Prepaid crypto models with bonus credits often deliver a lower effective rate than monthly subscriptions.
Understanding Token Costs in LLM APIs
Token pricing is the fundamental unit of measurement for almost every LLM API. You pay for the tokens you send to the model and the tokens it generates in response. Understanding how tokens map to words helps you estimate costs accurately. One token is roughly four characters or 0.75 words in English.
Most providers charge different rates for input tokens versus output tokens. Output is typically more expensive because the model is actively generating content. This distinction matters when you design prompts that might trigger long responses.
| Component | Description |
|---|---|
| Input Tokens | Tokens sent in your prompt and system instructions. |
| Output Tokens | Tokens generated by the model in the response. |
Knowing this split allows you to optimize your prompts. Shorter prompts reduce input costs. Efficient responses reduce output costs. This balance is key to keeping your API bill manageable.
Comparing Standard OpenAI Pricing to Ours
Standard OpenAI pricing varies by model, but input tokens generally cost less than output tokens. Our uncensored LLM charges $0.15 per 1M input tokens and $0.50 per 1M output tokens. This structure is transparent and predictable. You know exactly what each token costs before you send it.
Competitors often bundle features or charge for usage caps. We charge purely by token count. Errors and refusals do not cost you tokens. This means you only pay for successful responses. This is a significant advantage for developers running high-volume tests.
The base URL for our API is HTTPS://api.ollamaopenaicompatibleapi.com/v1. You can use the same SDKs you use for OpenAI. Just update the base URL and API key. This drop-in replacement saves you development time.
Our model id is "uncensored". It runs on our own servers and does not use GPT or Claude models. This ensures consistent pricing without vendor lock-in.
The Cost of Streaming and JSON Mode
Streaming does not change the token count. You still pay for the tokens sent and received. Streaming just changes how you receive the data. You get tokens as they are generated instead of waiting for the full response.
JSON mode is a format constraint, not a cost multiplier. The model still counts tokens normally. However, enforcing JSON can sometimes increase output tokens. The model might add extra whitespace or formatting characters to ensure valid JSON.
Use JSON mode when your application requires structured data. It prevents parsing errors. The cost difference is usually negligible. The benefit of reliable data structures is worth the slight increase in output tokens.
Our API supports JSON mode via the response_format parameter. Set it to {"type": "json_object"}. This ensures the model outputs valid JSON every time.
Function Calling Overhead Explained
Function calling adds overhead because the model must output tool instructions. These instructions count as output tokens. You pay for the tool definitions in the input tokens. You also pay for the tool calls in the output tokens.
The overhead is usually small. A single tool call might add 50-100 tokens. Multiple tool calls increase the cost. However, the efficiency gained by automating tasks often outweighs the token cost.
Our API supports function calling via the tools parameter. You can define multiple functions. The model chooses which one to call based on the prompt.
Use function calling for tasks that require specific actions. It reduces the need for manual parsing. The cost is predictable and proportional to the complexity of the tool calls.
Hidden Fees in Competitor Pricing
Many competitors charge for features you might not need. Embeddings, image generation, and audio processing are often billed separately. If you only need text completion, these fees add up.
Some providers charge for failed requests. If the model times out or errors, you still pay. Our API charges only for successful responses. Errors are free. This protects you from unexpected bills during high-load periods.
Rate limits can also incur hidden costs. If you exceed your limit, you might pay for overage or wait. Our API has clear limits. You can handle 300 requests per minute per key. This is sufficient for most applications.
Check your provider's documentation for these details. Hidden fees can significantly increase your monthly spend. Transparency is key to accurate budgeting.
Calculating Your Monthly Usage
To calculate your monthly usage, multiply your estimated token volume by the price per token. Input tokens cost $0.15 per 1M. Output tokens cost $0.50 per 1M. Add these together to get your total cost.
Consider your average request size. A 1,000 token prompt and a 500 token response cost $0.000225. Multiply this by your daily request volume to get your daily cost.
Track your usage in your application. Log the tokens sent and received. This data helps you optimize your prompts. You can reduce input tokens by shortening your system instructions.
Use our prepaid credit system to manage your budget. Credit never expires. You can top up when you need more. This flexibility allows you to scale without worrying about monthly bills.
Crypto Top-Up Bonuses Impact Effective Rate
Our prepaid credit system includes bonus credits for larger top-ups. Top up $50 and get +5% bonus credit. Top up $100 and get +10% bonus credit. Top up $200 and get +15% bonus credit.
This bonus credit reduces your effective rate. If you top up $200, you get $230 in credit. Your effective rate for input tokens becomes $0.13 per 1M. Your effective rate for output tokens becomes $0.43 per 1M.
These bonuses are significant for high-volume users. The more you top up, the more you save. This makes our API one of the cheapest LLM API options available.
We accept USDT on TRC20 or USDC on Base. Any whole amount from $20 to $500 is supported. This flexibility allows you to pay in the crypto you prefer.
Free Errors and Refusals Policy
We do not charge for errors or refusals. If the model fails to respond or the request times out, you do not pay. This is a significant advantage over competitors who charge for failed requests.
Refusals are also free. If the model refuses to answer a question, you do not pay. This is important for uncensored models where refusals are rare but possible. You only pay for successful responses.
This policy protects you from unexpected bills. You can run high-volume tests without worrying about costs. Errors are inevitable in any API. Our policy ensures you only pay for value received.
Our API has a strict no-refusal policy for lawful adult use. The only hard limit is sexual content involving minors. This ensures consistent responses for your use case.
Summary: Why Prepaid Beats Subscriptions
Prepaid credit offers flexibility that subscriptions lack. You pay only for what you use. You do not lose unused credit at the end of the month. This is ideal for projects with variable usage.
Crypto top-ups with bonuses provide the best value. The bonus credits reduce your effective rate significantly. You save money by topping up larger amounts.
Our API is simple and transparent. No hidden fees. No complex tiers. Just token pricing. This makes it easy to budget and scale your application.
Try our API with $0.50 of trial credit. Sign up with Google or email. Get your API key instantly. Start testing today.
FAQ
What is the openai compatible API price per token?
Our uncensored model charges $0.15 per 1M input tokens and $0.50 per 1M output tokens. Errors and refusals are free. You only pay for successful responses. This transparent pricing makes it easy to calculate your costs.
Do you charge for streaming responses?
No. Streaming does not change the token count. You pay for the tokens sent and received, regardless of whether you stream them. Streaming just changes how you receive the data in your application.
How do crypto bonuses affect the effective rate?
Top-ups of $50, $100, and $200 come with +5%, +10%, and +15% bonus credit respectively. This bonus credit reduces your effective rate. The more you top up, the more you save per token.
Is there a minimum amount to top up?
The minimum top-up amount is $20. You can top up any whole amount up to $500. We accept USDT on TRC20 or USDC on Base. Credit never expires.
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