"I want to incorporate ChatGPT API into my app, but I'm not sure how much it will cost."
I think many people have these kinds of concerns.
In this article,A thorough explanation of the costs and labor required for ChatGPT API integration from a professional perspectiveI will.
From market rates for each development pattern, implementation examples, to anticipated errors,Everything is explained in an easy-to-understand manner for beginnersWe are doing it.
Understand the basic structure of costs
To use the ChatGPT API, you need to connect to the API provided by OpenAI.
The API usage fee isCharges are based on the number of tokens (number of characters)is.
- For GPT-4 (Turbo): Approximately $0.01-0.03 per 1,000 tokens
- In Japanese yen, it is about 1.5 to 4 yen per 1,000 characters (varies depending on the exchange rate)
For commercial use or for incorporating into your own services,Monthly fee ranges from several thousand to several hundred thousand yenThere may be a usage fee.
In addition to this, development costs are required for API integration.
Estimated development costs (by pattern)
The development cost of ChatGPT API integration varies greatly depending on the following factors:
Minimum configuration: Chatbot function only
- Development cost: 100,000 to 300,000 yen
- Development time: 1 to 2 weeks
- Features: Simple structure where AI responds to user input
Medium-scale configuration: with management screen and data storage
- Development cost: 300,000 to 800,000 yen
- Development period: 2 weeks to 1 month
- Features: Log storage, UI improvement, external integration with LINE, etc.
Large-scale configuration: AI x business system integration
- Development cost: 1 to 3 million yen or more
- Development period: From 2 months
- Features: In-house system integration, security measures, multiple API usage, etc.
Implementation example (Python + Flask)
import openai from flask import Flask, request, jsonify app = Flask(__name__) openai.api_key = "YOUR_API_KEY" @app.route("/chat", methods=["POST"]) def chat(): user_message = request.json.get("message") response = openai.ChatCompletion.create( model="gpt-4", messages=[{"role"]: "user", "content": user_message}] ) return jsonify({"reply": response.choices[0].message["content"]}) if __name__ == "__main__": app.run(debug=True)
Common errors and how to fix them
🔸 Error: openai.error.RateLimitError
cause: API usage limit exceeded
Solution:
- Wait a certain amount of time
- Upgrade your usage plan
- Thin out API calls
🔸 Error: KeyError: 'content'
cause: Response structure changed or key acquisition error
Solution:
responseThe contents ofprint()Check it out.get()Safely eject using
summary
- ChatGPT API charges are based on the number of characters used.
- Development costs vary widely from 100,000 to 3 million yen depending on the configuration.
- Anyone can connect with Python and Flask
- It is important to know in advance what to do if an error occurs.
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