Calculating the cost
Before deploying AI features at scale, it's essential to estimate costs. The cost is dependent on the number of input and output tokens used and the model chosen.
Your task is to calculate the cost of summarizing customer chat transcripts.
The OpenAI client, along with a prompt and max_tokens, are preloaded for you.
Diese Übung ist Teil des Kurses
Working with DeepSeek in Python
Anleitung zur Übung
- Extract the input token usage from the
response. - Complete the cost calculation to add the output token cost.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
client = OpenAI(api_key="", base_url="https://api.together.xyz/v1")
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3",
messages=[{"role": "user", "content": prompt}],
max_tokens=max_tokens
)
input_token_price = 1.25 / 1_000_000
output_token_price = 1.25 / 1_000_000
# Extract token usage
input_tokens = response.____.____
output_tokens = max_tokens
# Calculate cost
cost = (input_tokens * input_token_price + ____ * ____)
print(f"Estimated cost: ${cost}")