OpenRouter Now Offering Access to Deepseek V3 0324 Free
Free Deepseek V3 0324 API Available
Great news for AI enthusiasts and developers! OpenRouter has announced they are now providing free api access to Deepseek V3 0324 through their platform. This exciting development was shared in a recent Twitter from OpenRouter, making this powerful AI model accessible to a broader audience.
How to Access Deepseek V3 0324 via OpenRouter API
OpenRouter now offers access to Deepseek V3 0324 through their API service. This guide will walk you through the steps to integrate and use Deepseek V3 0324 in your applications via OpenRouter's straightforward API.
Prerequisites
Before getting started, you'll need:
- An OpenRouter account
- Your OpenRouter API key
- Basic familiarity with API requests
Step 1: Get Your API Key
If you haven't already, sign up for an OpenRouter account and generate an API key from your dashboard.
Step 2: Set Up Your Environment
Install the necessary libraries for making API requests. For Python users:
pip install requests
Step 3: Making Requests to Deepseek V3 0324
Here's a simple Python example to call Deepseek V3 0324 through OpenRouter:
import requests
import json
# Your OpenRouter API key
api_key = "your_openrouter_api_key"
# API endpoint
url = "https://openrouter.ai/api/v1/chat/completions"
# Request headers
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
"X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
}
# Request payload
payload = {
"model": "deepseek/deepseek-chat-v3-0324:free", # Specify Deepseek V3 0324 model
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain quantum computing in simple terms."}
],
"temperature": 0.7,
"max_tokens": 1000
}
# Make the request
response = requests.post(url, headers=headers, data=json.dumps(payload))
# Print the response
print(json.dumps(response.json(), indent=4))
Step 4: Processing the Response
The response from OpenRouter will include the model's output in the following format:
{
"id": "gen-xxxx",
"object": "chat.completion",
"created": 1234567890,
"model": "deepseek/deepseek-chat-v3-0324:free",
"choices": [
{
"message": {
"role": "assistant",
"content": "Quantum computing is like..."
},
"index": 0,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 25,
"completion_tokens": 150,
"total_tokens": 175
}
}
You can extract the response content with:
assistant_response = response.json()["choices"][0]["message"]["content"]
print(assistant_response)
Step 5: JavaScript/Node.js Example
If you're working with JavaScript:
const fetch = require('node-fetch');
const apiKey = 'your_openrouter_api_key';
const url = 'https://openrouter.ai/api/v1/chat/completions';
const payload = {
model: 'deepseek/deepseek-chat-v3-0324:free',
messages: [
{role: 'system', content: 'You are a helpful assistant.'},
{role: 'user', content: 'Explain quantum computing in simple terms.'}
],
temperature: 0.7,
max_tokens: 1000
};
async function callDeepseekV3() {
const response = await fetch(url, {
method: 'POST',
headers: {
'Authorization': `Bearer ${apiKey}`,
'Content-Type': 'application/json',
"HTTP-Referer": "<YOUR_SITE_URL>", // Optional. Site URL for rankings on openrouter.ai.
"X-Title": "<YOUR_SITE_NAME>", // Optional. Site title for rankings on openrouter.ai.
},
body: JSON.stringify(payload)
});
const data = await response.json();
console.log(data.choices[0].message.content);
}
callDeepseekV3();
Cost and Rate Limits
OpenRouter offers free access to Deepseek V3 0324 with certain rate limitations. Check the OpenRouter dashboard for the latest information on usage limits and any associated costs for higher volumes.
By following these steps, you can easily integrate Deepseek V3 0324 into your applications using OpenRouter's API, taking advantage of this powerful model without the need for local deployment or specialized hardware.