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Example usage

Approximate 4 characters per token

input_tokens = math.ceil(len(input_text) / 4)

output_tokens = expected_output_length

Example pricing rates (per 1K tokens)

pricing = {

"claude-3.5-sonnet": {"input_rate": 0.003, "output_rate": 0.015},

"claude-3.5-haiku": {"input_rate": 0.0008, "output_rate": 0.004},

"claude-3-opus": {"input_rate": 0.01, "output_rate": 0.05}

}

model_price = pricing[model]

cost = (

(input_tokens / 1000) * model_price["input_rate"]

(output_tokens / 1000) * model_price["output_rate"]

)

print(f"Model: {model}")

print(f"Input Tokens: {input_tokens}")

print(f"Output Tokens: {output_tokens}")

print(f"Estimated Cost: ${cost:.4f}")

return cost

练习题

What formula is used to approximate the number of input tokens?

in p u t_t o k e n s = ma t h . f l oor (l e n (in p u t_t e x t) /4)

in p u t_t o k e n s = ma t h . ce i l (l e n (in p u t_t e x t) /4)

in p u t_t o k e n s = l e n (in p u t_t e x t) * 4

in p u t_t o k e n s = l e n (in p u t_t e x t) /4

What does $o u tp u t_t o k e n s$ represent in the given code?

A. The number of input characters

B. The expected length of the output in tokens

C. The actual length of the output in tokens

D. The number of input tokens

Which of the following are valid pricing rates per 1K tokens for the models in the given code? (Select all that apply)

c l a u d e - 3.5 - so nn e t

in p u t_r a t e = 0.003

o u tp u t_r a t e = 0.015

c l a u d e - 3.5 - haik u

in p u t_r a t e = 0.0008

o u tp u t_r a t e = 0.004

c l a u d e - 3 - o p u s

in p u t_r a t e = 0.01

o u tp u t_r a t e = 0.05

c l a u d e - 3 - so nn e t

in p u t_r a t e = 0.005

o u tp u t_r a t e = 0.02

The cost calculation formula includes both input and output token rates.

The formula to calculate the cost is $cos t = (\frac{in p u t _ t o k e n s}{1000} * m o d e l_p r i ce [" in p u t_r a t e "] + \frac{o u tp u t _ t o k e n s}{1000} * m o d e l_p r i ce [" o u tp u t_r a t e "])$

Explain the purpose of the print statements in the given code.

Which of the following is NOT a part of the cost calculation formula?

\frac{in p u t _ t o k e n s}{1000} * m o d e l_p r i ce [" in p u t_r a t e "]

\frac{o u tp u t _ t o k e n s}{1000} * m o d e l_p r i ce [" o u tp u t_r a t e "]

in p u t_t o k e n s * m o d e l_p r i ce [" in p u t_r a t e "]

D. Sum of input and output costs

Which knowledge points are involved in calculating and displaying the cost of using a model? (Select all that apply)

A. Token Approximation Formula

B. Output Tokens Definition

C. Pricing Rates per 1K Tokens

D. Cost Calculation Formula

E. Output Information Display

The output tokens are calculated using the same formula as the input tokens.

How would you modify the code to include a discount rate for bulk token usage?

When calculating the cost of using the 'claude-3.5-sonnet' model with an input text of 1200 characters and an expected output length of 500 tokens, which of the following statements is correct regarding the cost calculation process?

A. The input tokens are calculated as

⌈ \frac{1200}{4} ⌉ = 300

and the cost is

(300/1000) \times 0.003 + (500/1000) \times 0.015

B. The input tokens are calculated as

⌈ \frac{1200}{4} ⌉ = 300

and the cost is

(300/1000) \times 0.015 + (500/1000) \times 0.003

C. The input tokens are calculated as

⌈ \frac{1200}{4} ⌉ = 300

and the cost is

(300/1000) \times 0.0008 + (500/1000) \times 0.004

D. The input tokens are calculated as

⌈ \frac{1200}{4} ⌉ = 300

and the cost is

(300/1000) \times 0.01 + (500/1000) \times 0.05

Which of the following steps are necessary when calculating the cost of using a Claude model for a given input text and expected output length? Select all that apply.

A. Calculate the input tokens using the formula

\lceil \frac{\text{len(input_text)}}{4} \rceil

B. Define the output tokens as the length of the input text.

C. Retrieve the input and output rates for the specific Claude model from the pricing dictionary.

D. Use the cost calculation formula to compute the total cost.

E. Display the model name, input tokens, output tokens, and estimated cost using print statements.

The cost calculation formula for using a Claude model is $\text{cost} = (\frac{\text{input_tokens}}{1000} \times \text{input_rate}) + (\frac{\text{output_tokens}}{1000} \times \text{output_rate})$ , where the input and output rates are specific to the model being used.

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Example usage

Approximate 4 characters per token

Example pricing rates (per 1K tokens)

练习题

What formula is used to approximate the number of input tokens?

What does output_tokens represent in the given code?

Which of the following are valid pricing rates per 1K tokens for the models in the given code? (Select all that apply)

The cost calculation formula includes both input and output token rates.

The formula to calculate the cost is cost=(1000input_tokens​∗model_price["input_rate"]+1000output_tokens​∗model_price["output_rate"])

Explain the purpose of the print statements in the given code.

Which of the following is NOT a part of the cost calculation formula?

Which knowledge points are involved in calculating and displaying the cost of using a model? (Select all that apply)

The output tokens are calculated using the same formula as the input tokens.

How would you modify the code to include a discount rate for bulk token usage?

When calculating the cost of using the 'claude-3.5-sonnet' model with an input text of 1200 characters and an expected output length of 500 tokens, which of the following statements is correct regarding the cost calculation process?

Which of the following steps are necessary when calculating the cost of using a Claude model for a given input text and expected output length? Select all that apply.

The cost calculation formula for using a Claude model is \text{cost} = (\frac{\text{input_tokens}}{1000} \times \text{input_rate}) + (\frac{\text{output_tokens}}{1000} \times \text{output_rate}), where the input and output rates are specific to the model being used.

What does $o u tp u t_t o k e n s$ represent in the given code?

The formula to calculate the cost is $cos t = (\frac{in p u t _ t o k e n s}{1000} * m o d e l_p r i ce [" in p u t_r a t e "] + \frac{o u tp u t _ t o k e n s}{1000} * m o d e l_p r i ce [" o u tp u t_r a t e "])$

The cost calculation formula for using a Claude model is $\text{cost} = (\frac{\text{input_tokens}}{1000} \times \text{input_rate}) + (\frac{\text{output_tokens}}{1000} \times \text{output_rate})$ , where the input and output rates are specific to the model being used.