Claude 3.5 Sonnet

This documentation is valid for the following list of our models:

anthropic/claude-3.5-sonnet
anthropic/claude-3.5-sonnet-20240620
anthropic/claude-3.5-sonnet-20241022
claude-3-5-sonnet-20240620
claude-3-5-sonnet-20241022
claude-3-5-sonnet-latest

Model Overview

Operating at twice the speed of its predecessor, Claude 3 Opus, this model outperforms it across a range of evaluations, making it a superior choice for complex AI tasks.

How to Make a Call

Step-by-Step Instructions

Setup You Can’t Skip

Create an Account: Visit the AI/ML API website and create an account (if you don’t have one yet). Generate an API Key: After logging in, navigate to your account dashboard and generate your API key. Ensure that key is enabled on UI.

Copy the code example

At the bottom of this page, you'll find a code example that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

Modify the code example

Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key from your account. Insert your question or request into the content field—this is what the model will respond to.

^_(Optional)Adjust other optional parameters if needed

Only model and messages are required parameters for this model (and we’ve already filled them in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding API schema, which lists all available parameters along with notes on how to use them.

Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds a few seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our Quickstart guide.

API Schema

Code Example

import requests

response = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={
        "Content-Type":"application/json", 

        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization":"Bearer <YOUR_AIMLAPI_KEY>",
        "Content-Type":"application/json"
    },
    json={
        "model":"claude-3-5-sonnet-latest",
        "messages":[
            {
                "role":"user",

                # Insert your question for the model here, instead of Hello:
                "content":"Hello"
            }
        ]
    }
)

data = response.json()
print(data)

Response

{'id': 'msg_01PZ3mQccMuTdtVFN1nUPRkd', 'object': 'chat.completion', 'model': 'claude-3-5-sonnet-20241022', 'choices': [{'index': 0, 'message': {'reasoning_content': '', 'content': 'Hi! How can I help you today?', 'role': 'assistant'}, 'finish_reason': 'end_turn', 'logprobs': None}], 'created': 1744218546, 'usage': {'prompt_tokens': 50, 'completion_tokens': 378, 'total_tokens': 428}}

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How to Make a Call

Step-by-Step Instructions

Setup You Can’t Skip

Copy the code example

Modify the code example

Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key from your account. Insert your question or request into the content field—this is what the model will respond to.

^_(Optional)Adjust other optional parameters if needed

Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds a few seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our Quickstart guide.

Code Example

import requests

response = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={
        "Content-Type":"application/json", 

        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization":"Bearer <YOUR_AIMLAPI_KEY>",
        "Content-Type":"application/json"
    },
    json={
        "model":"claude-3-5-sonnet-latest",
        "messages":[
            {
                "role":"user",

                # Insert your question for the model here, instead of Hello:
                "content":"Hello"
            }
        ]
    }
)

data = response.json()
print(data)

Response

{'id': 'msg_01PZ3mQccMuTdtVFN1nUPRkd', 'object': 'chat.completion', 'model': 'claude-3-5-sonnet-20241022', 'choices': [{'index': 0, 'message': {'reasoning_content': '', 'content': 'Hi! How can I help you today?', 'role': 'assistant'}, 'finish_reason': 'end_turn', 'logprobs': None}], 'created': 1744218546, 'usage': {'prompt_tokens': 50, 'completion_tokens': 378, 'total_tokens': 428}}

POST /v1/chat/completions HTTP/1.1 Host: api.aimlapi.com Authorization: Bearer <YOUR_AIMLAPI_KEY> Content-Type: application/json Accept: */* Content-Length: 422 { "model": "anthropic/claude-3.5-sonnet", "messages": [ { "content": "text", "role": "user" } ], "max_tokens": 512, "stream": false, "stop_sequences": [ "text" ], "frequency_penalty": 1, "top_k": 1, "metadata": { "ANY_ADDITIONAL_PROPERTY": "text" }, "tools": [ { "name": "text", "description": "text", "input_schema": { "type": "object", "properties": null, "ANY_ADDITIONAL_PROPERTY": null } } ], "tool_choice": { "type": "auto" }, "top_p": 1, "temperature": 1, "system": "text" }

Model Overview

How to Make a Call

Setup You Can’t Skip

Copy the code example

Modify the code example

(Optional) Adjust other optional parameters if needed

Run your modified code

API Schema

Code Example

Model Overview

How to Make a Call

Setup You Can’t Skip

Copy the code example

Modify the code example

(Optional) Adjust other optional parameters if needed

Run your modified code

API Schema

Code Example

Generate a conversational response using a language model.

^_(Optional)Adjust other optional parameters if needed

^_(Optional)Adjust other optional parameters if needed