# Models
#### Available Models in the KidJig API
The KidJig API offers a diverse selection of AI models designed to cater to various applications. Each model is tailored for specific tasks, ensuring that you have the right tool for your needs. Below is a list of the available models.
The KidJig Chat Completion API provides powerful natural language processing capabilities. This section demonstrates how to integrate and utilize these features in your applications.
{% content-ref url="/pages/CyH2xJQs9yWJ1S8BYNav" %}
[Quickstart](/kidjig-docs/getting-started/quickstart.md)
{% endcontent-ref %}
Request Sample:
```javascript
const axios = require('axios');
/* For Provider and modelId you can select from the table
eg: OpenAI
base_url = https://api.kidjig.com/provider/api/v1/opanai/chat/completions
*/
const base_url = "https://api.kidjig.com/provider/api/v1/{provider}/chat/completions";
const headers = {
"X-Api-Key": "your_api_key", // kidjig_api_key
"Content-Type": "application/json"
};
const data = {
"model": "modelId String"
"prompt": "What is the capital of France?",
"stream": false,
"config": {
"temperature": 0.7,
"maxOutputTokens": 4096,
"topP": 1,
"topK": 40
}
};
axios.post(base_url, data, { headers })
.then(response => console.log(response.data))
.catch(error => console.error(error));
```
| Provider | Model ID String |
| ---------- | --------------------------------------------------------------------------------------------- |
| OpenAI | o3-pro new |
| Anthropic | claude-sonnet-4-20250514 new |
| Anthropic | claude-opus-4-20250514 new |
| Grok | grok-3-beta |
| Grok | grok-3-fast-beta |
| Grok | grok-3-mini-beta |
| Grok | grok-3-mini-fast-beta |
| OpenAI | o1 |
| OpenAI | o3-mini |
| OpenAI | o1-mini |
| OpenAI | o1-preview |
| OpenAI | gpt-4o |
| OpenAI | gpt-4o-mini |
| OpenAI | gpt-4 |
| OpenAI | gpt-4-turbo-2024-04-09 |
| OpenAI | gpt-3.5-turbo |
| OpenAI | gpt-3.5-turbo-16k |
| Anthropic | claude-3-5-sonnet-20241022 |
| Anthropic | claude-3-5-haiku-20241022 |
| DeepSeek | deepseek-chat |
| Google | gemini-pro |
| Google | gemini-1.5-pro |
| Google | gemini-1.5-flash |
| Google | gemini-1.5-flash-8b |
| Llama | meta-llama-4-maverick-17b-128e-instruct-fp8 |
| Llama | meta-llama-4-scout-17b-16e-instruct |
| Llama | meta-llama-3.3-70B-instruct-turbo |
| Llama | meta-llama-3.1-8B-instruct-turbo |
| Llama | meta-llama-vision-free |
| Mistral ai | mistralai-7b-instruct-v0.1 |
| Mistral ai | mistralai-7b-instruct-v0.2 |
| Mistral ai | mistralai-7b-instruct-v0.3 |
| Mistral ai | mistralai-8x7b-instruct-v0.1 |
| Mistral ai | mistralai-8x22b-instruct-v0.1 |
| Qwen | qwen2.5-coder-32b-instruct |
| Qwen | qwq-32b-preview |
| Perplexity | sonar-pro |
| Perplexity | sonar |
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://kidjig.gitbook.io/kidjig-docs/api-provider/text-models-llm/models.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.