Kearnix
About Kearnix
Kearnix is an OpenAI-compatible API for uncensored and abliterated open-weight models, priced per token from prepaid credits.
From choosing a model to your first request
An uncensored LLM API, from model choice to first requestCompare uncensored and abliterated model options, check live token prices, and call the Kearnix OpenAI-compatible API.Connect your OpenAI-compatible client to KearnixConnect an OpenAI-compatible client to Kearnix, choose a live model ID, and send a chat completion using a server-side API key.How to compare LLM API prices without guessing your billLearn how per-million-token API pricing works, estimate input and output costs, and compare current Kearnix model prices.Choose a GLM uncensored API modelCompare GLM Flash uncensored, GLM uncensored and Flash Apex abliterated variants with current Kearnix prices and exact model IDs.Compare Qwen uncensored and abliterated API modelsFind Qwen uncensored and Qwen2.5 abliterated API options, compare live token prices and context windows, and connect using Python or Node.js.Choose a DeepSeek uncensored API variantCompare DeepSeek Flash uncensored revisions and R1 distilled abliterated variants using live prices, context windows and exact API model IDs.Call an uncensored AI model from PythonInstall the Python OpenAI SDK, configure Kearnix's base URL, select a GLM, Qwen or DeepSeek model, and read a chat completion and token usage.Use an uncensored AI API from Node.jsConnect Node.js to Kearnix with the OpenAI SDK, environment-based API keys and model selection, a short chat request and basic error handling.Configure Kearnix as an OpenCode providerAdd Kearnix's OpenAI-compatible endpoint to OpenCode v1 or v2, set an environment-based API key and select an uncensored model for evaluation.