EN ▾
Start now

Uncensored API Alternative

OpenAI uncensored API Alternative

Get a direct, OpenAI-compatible API for an uncensored model with a 100,000 token context window and transparent token pricing.

  • 100,000 token context window
  • Streaming, tools, JSON mode
  • No monthly subscriptions required

Start nowView documentation

per 1M input tokens
$0.15
Output tokens / 1M
$0.50
token context
100,000
trial credit
$0.50
requests per minute
300

Test with one API call

curl https://api.openaiuncensored.cc/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List three common Unix commands for disk usage."}]
  }'
01

Core features

01

Zero Code Changes

Drop-in compatibility with the official OpenAI SDKs for standard chat-completions.

02

Deep Context

Process 100,000 tokens of combined prompt and completion data.

03

Advanced Control

Use function calling, JSON mode, and streaming via SSE.

04

Simple Pricing

Pay only for real token usage with no monthly fees.

05

Instant Access

Get your API key immediately after a quick signup.

06

Raw Outputs

Receive unfiltered text without standard content refusals for lawful use.

02

Setup guide

  1. 1

    Create Account

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

  2. 2

    Load Credits

    Top up with USDT or USDC to start sending requests.

  3. 3

    Integrate Code

    Update your base URL and API key in your SDK.

03

Use cases

Content Generation

Create unrestricted fictional narratives without standard topic refusals.

Security Research

Test model vulnerabilities with direct, unfiltered prompt inputs.

Data Processing

Analyze large documents using the full 100,000 token context.

API Development

Build applications that require consistent, unmoderated text responses.

04

5-Point Checklist for Choosing an Uncensored Provider

Verify protocol compliance first. Ensure the endpoint matches /v1/chat/completions so existing code runs without modification. Check for a dedicated model rather than a proxy aggregator that routes requests, which adds latency and obscures costs. Confirm transparent token pricing with no monthly subscription fees. Ensure the provider hosts the model on its own servers for consistent performance. Finally, verify that the context window supports your project’s needs, such as 100,000 tokens, without hidden egress charges.

Why Local Models Fail in Production (And How to Avoid It)

Local models often fail in production due to context window limitations and inconsistent formatting. Our API solves this with a 100,000-token context and reliable JSON mode. Developers avoid hallucinations by leveraging our dedicated uncensored model, which handles complex reasoning without the noise of aggregated proxies. Use our OpenAI-compatible endpoint for consistent, unfiltered outputs that scale reliably.

openai uncensored: Use Cases for Unfiltered Generation

Our API delivers raw, unfiltered LLM outputs via standard OpenAI SDKs without content refusals.

Content Moderation Testing

Send prompts to validate how your own filters handle edge cases without the base model blocking them first.

Creative Storytelling

Generate dark or controversial fiction freely, allowing your application logic to decide if the output fits your brand.

Security Research

Rapidly probe model behavior against jailbreak patterns or sensitive topics without waiting for a refusal response.

Signal vs Noise: How Our API Differs from Typical Proxies

Our API delivers a single, dedicated uncensored model, not a routed aggregation of various vendors. This architecture guarantees consistent behavior without the noise of dynamic switching. Use the table below to compare key operational differences against typical proxy services.

FeatureOur APITypical Proxy
Model ArchitectureDedicated single modelAggregated vendors
Pricing ModelPer-token usageSubscription or markup
RefusalsNone for lawful contentVariable filtering

From Signup to First Token: A 4-Step Integration Guide

Start generating responses in minutes by following this straightforward workflow.

  1. Sign up: Click “Get API key” and authenticate via Google or email. No phone number required.
  2. Copy your key: The system displays your unique token immediately for secure storage.
  3. Configure your SDK: Update your client’s base_url to https://api.openaiuncensored.cc/v1 and insert the key.
  4. Send a request: POST to /v1/chat/completions using model ID uncensored. Receive raw text output without content refusals.

Token Arithmetic: Real Cost Examples for Your Use Case

Token Arithmetic: Real Cost Examples for Your Use Case

Our API charges $0.15 per million input tokens and $0.50 per million output tokens, ensuring predictable billing.

  • A 10k input / 1k output request costs roughly $0.002.
  • Streaming 50k output tokens via SSE incurs $25.00.

Errors and refusals remain free. Prepaid credit never expires, so unused funds accumulate indefinitely.

05

Frequently asked questions

What is openai uncensored and how does it differ from standard models?

It is an OpenAI-compatible API serving a single uncensored model. Unlike standard models, it does not refuse lawful adult or controversial topics. It requires zero code changes to integrate using standard chat-completions endpoints.

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.

Does the service offer image or video generation capabilities?

No. We provide text-only chat-completions via POST /v1/chat/completions. There are no embeddings, audio, or fine-tuning endpoints. You get raw text output from the uncensored model with standard parameters.

Is there a monthly subscription fee for the uncensored model?

No. There is no monthly fee or subscription. You pay prepaid credit by real token usage. Errors and refusals are free, and your credit never expires, giving you flexible, cost-effective access.

How does the context window affect my requests?

The model supports a 100,000-token context window. You can send up to 16,000 tokens per request for output. This ensures long conversations fit efficiently without hitting hard limits during standard usage.

Are prompts used to train the underlying model?

No. We do not use your prompts for training. Your data remains private. You get a dedicated uncensored experience without your inputs contributing to the general model training pool for other users.

Get your API key

Register, copy the key, and update your base URL. That is all the configuration required.

Start now