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Uncensored LLM API. Pay per token.

Uncensored LLM API

Mimo ai api: Uncensored Inference, Prepaid Credit

Get an uncensored LLM API key instantly and start generating content with a 100,000 token context window using the mimo AI API.

  • 100k token context window
  • OpenAI-compatible endpoints
  • Crypto prepaid billing

Get API keyView documentation

Test with one API call

curl https://api.mimoaiapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Generate a json object with keys name age and role for a character profile"}]
  }'

Core features

OpenAI Compatible

Use standard SDKs with our chat-completions endpoint and any compatible client.

Raw Inference Only

No embeddings, fine-tuning, or vendor bloat just pure text generation.

Streaming Support

Receive tokens via SSE with real usage stats in the final chunk.

JSON Mode

Force structured outputs using the response_format parameter for reliable parsing.

Tool Calling

Define functions and let the model choose tools with tool_choice.

Privacy First

Prompts are not used for training and no phone number required.

Setup guide

Create Account

Sign up with Google or email to get your API key instantly.

Top Up Credit

Add crypto via USDT or USDC to activate your prepaid balance.

Send Requests

Point your client to our base URL and start generating text.

Integration examples

Roleplay Applications

Run uncensored characters without content filters interrupting the narrative flow.

Creative Writing

Generate long-form stories with a 100k context window for consistency.

Data Extraction

Parse structured data from text using JSON mode for reliability.

API Integration

Drop into existing OpenAI projects by swapping the base URL.

1. Worked cost examples with token arithmetic that use only our prices

Our prepaid credit system charges strictly for real token usage, ensuring you pay only for actual inference. Input costs $0.15 per 1M tokens, while output runs $0.50 per 1M tokens. Errors and refusals incur zero fees, protecting your balance during testing. For instance, generating 1,000 output tokens costs exactly $0.50. This transparent model eliminates hidden subscription fees, allowing precise budgeting for uncensored content generation without financial surprise.

2.

mimo AI API delivers raw uncensored inference for NSFW content without subscription bloat.

Uncensored Story Generation

Write unlimited creative prose. The model ignores standard guardrails for lawful adult themes.

Roleplay Applications

Send 100,000 token context windows. Maintain character consistency across long sessions without refusal.

Direct Chatbot Integration

Drop in the /v1/chat/completions endpoint. Pay only for tokens used with prepaid crypto credit.

3. Migrate from Another OpenAI-Compatible Provider in Three Steps

Switching to our uncensored LLM is immediate. Update your base_url to HTTPS://api.mimoaiapi.com/v1 and insert your new key. The endpoint structure matches standard OpenAI clients perfectly, so no code refactoring is required. Top up crypto for prepaid credit and start generating. This approach avoids complex subscriptions while maintaining full compatibility with existing SDK integrations.

  1. Generate your key
  2. Update base_url
  3. Start sending requests

4. A checklist for choosing a provider in this niche

Verify the billing model immediately. We use prepaid credit with no monthly fees. Ensure the API key replaces old ones cleanly. Check if errors cost tokens. Our system charges only for real usage. Confirm crypto-only payments via USDT or USDC. Test the 100k context window. Confirm the model id is "uncensored" and not a renamed vendor model. Avoid providers hiding refusals behind complex subscriptions.

5. Who uses it and who it is not for

Developers building NSFW roleplay, uncensored chatbots, or creative writing apps use this API because it answers without refusals. It suits projects needing raw inference with no vendor bloat. You should avoid it if you require embeddings, fine-tuning, or image generation. It is not for teams needing SLA guarantees, HIPAA compliance, or multi-model routing. Use it strictly for text output where content freedom matters more than enterprise certifications.

6. What developers actually ask about this topic

The API uses prepaid crypto credit at $0.15 per 1M input and $0.50 per 1M output tokens. You pay only for valid completions; errors cost nothing. The system accepts USDT or USDC with bonus credits for larger top-ups. Context limits reach 100,000 tokens. Streaming and JSON modes work reliably.

Common questions

What is the mimo AI API?

It is an OpenAI-compatible endpoint serving one uncensored model for text generation. You send requests to /v1/chat/completions and receive raw text without content filters. The service charges prepaid credit per token rather than a subscription.

How much does it cost?

Input tokens cost $0.15 per million and output tokens cost $0.50 per million. Errors do not consume credits. You pay only for actual usage from your prepaid balance, which never expires.

How do I pay for credits?

Top-ups use crypto only, specifically USDT on the TRC20 network or USDC on the Base network. You can deposit any whole amount between $20 and $500.

What is the context window size?

The model supports a 100,000 token context window for both prompt and completion combined. You can generate up to 16,000 tokens per request. Default output limits to 2,048 tokens if you do not set the limit.

Which payment methods do you accept?

Crypto only: USDT on TRC20 or USDC on Base, any whole amount from $20 to $500. Bonus credit applies from $50.

What are the request limits?

You can send up to 300 requests per minute with a maximum of eight simultaneous active connections. The request body size is capped at 8 MB. Each account maintains one active key that replaces the previous one.

Get your API key now

Sign up, retrieve your key, and update your base URL. That is all you need to do.

Get API keyView documentation