backend/test_models.py

import google.generativeai as genai
import os
from dotenv import load_dotenv

load_dotenv()
api_key = os.getenv("GEMINI_API_KEY")
genai.configure(api_key=api_key)

candidates = [
    "models/gemini-2.5-flash",
    "models/gemini-3.0-flash-preview",
    "models/gemini-3.0-flash-exp",
    "models/gemini-3.0-flash",
    "models/gemini-1.5-flash",
    "models/gemini-2.0-flash-exp", 
    "models/gemini-flash-3-preview" # Guess
]

with open("results.txt", "w") as f:
    f.write("Starting tests\n")
    for model_name in candidates:
        try:
            model = genai.GenerativeModel(model_name)
            # Try a simple generation (cheaper/faster than counting sometimes?)
            # Counting is free.
            res = model.count_tokens("hello")
            f.write(f"SUCCESS: {model_name}\n")
            print(f"S: {model_name}")
        except Exception as e:
            f.write(f"FAILED: {model_name} - {e}\n")
            print(f"F: {model_name}")