Learn how to get started with the AI/ML API
This documentation portal is designed to help you choose and configure the AI model that best suits your needs—or one of our solutions (ready-to-use tools for specific practical tasks) from our available options and correctly integrate it into your code.
Have suggestions for improvement? Let us know!
Trending Models
Start with this code block 🪁 Step-by-step example:
🪁 Choose the SDK to use:
Popular |
Select the model by its Task, by its Developer or by the supported Capabilities:
Alibaba Cloud:
Anthracite:
Anthropic:
Assembly AI:
BAAI:
ByteDance:
Cohere:
DeepSeek
– if you need to create a project where information must be found on the internet and then presented to you in a structured format, use this solution.
– if you need to create tailored AI Assistants capable of handling customer support, data analysis, content generation, and more.
We’re currently working on improving our documentation portal, and your feedback would be incredibly helpful! Take (no personal info required!)
You can also rate each individual page using the built-in form on the right side of the screen:
Deepgram: Speech-To-Text Text-to-Speech
ElevenLabs: Text-to-Speech Voice Chat Music
Flux: Image
Gryphe: Text/Chat
Inworld: Text-to-Speech
Kling AI: Video
Krea: Video
LTXV: Video
Meta: Text/Chat
Microsoft: Text-to-Speech
MiniMax: Text/Chat Video Music Voice-Chat
Mistral AI: Text/Chat Vision(OCR)
Moonshot: Text/Chat
NousResearch: Text/Chat
NVIDIA: Text/Chat
OpenAI: Text/Chat Image Speech-To-Text Embedding
Perplexity: Text/Chat
PixVerse: Video
RecraftAI: Image
Reve: Image
Runway: Video
Stability AI: Image Music 3D-Generation
Sber AI: Video
Tencent: Image
Together AI: Embedding
VEED: Video
Zhipu: Text/Chat
Use more text model capabilities in your project: 📖 Completion and Chat Completion
Learn more about developer-specific features: 📖 Features of Anthropic Models
Pro-Grade Image Model
Top Video Generator
Smarter Reasoning & Coding
from openai import OpenAI
client = OpenAI(
base_url="https://api.aimlapi.com/v1",
api_key="<YOUR_AIMLAPI_KEY>",
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Write a one-sentence story about numbers."}]
)
print(response.choices[0].message.content)