AI Sales Assistant Cost per Task Calculator

This calculator estimates the blended cost of one completed ai sales assistant task. It combines model input and output token charges, infrastructure time, and optional external-service fees, then adjusts for retries or failed attempts that consume resources without producing an accepted result.

Sales operations teams can use the unit cost to forecast campaign, account-research, or agent-assistance budgets. Pricing varies by provider, region, contract, and caching rules, so all rates are user-entered rather than assumed.

Calculator inputs

tokens
USD
tokens
USD
seconds
USD
USD
%
Result
Calculated result
Token cost per attempt
Infrastructure cost
Total cost per attempt
Attempts per completed task

1. Enter token usage

Provide average input and output tokens consumed by one attempt.

2. Add current token prices

Enter the contracted or public rate per one million input and output tokens.

3. Include infrastructure time

Enter accelerator or compute seconds per attempt and the all-in hourly infrastructure rate.

4. Add service fees

Include retrieval, search, database, observability, or other per-attempt charges when relevant.

5. Account for retries

Enter the share of attempts that must be repeated or do not yield an accepted completed task.

6. Review unit economics

Use cost per completed task for budgeting and compare the component costs to identify optimization opportunities.

Token cost = Input tokens ÷ 1,000,000 × Input price + Output tokens ÷ 1,000,000 × Output price
Infrastructure cost = Infrastructure seconds ÷ 3,600 × Hourly infrastructure cost
Cost per attempt = Token cost + Infrastructure cost + External fee
Attempts per completed task = 1 ÷ (1 − Retry rate)
Cost per completed task = Cost per attempt × Attempts per completed task

The retry adjustment assumes each attempt has approximately the same cost and that the entered retry rate is the fraction of attempts that do not become accepted completions.

What the result means

The main result is blended cost for one accepted completed task.

Use measured workload data and current provider or hardware benchmarks when available; production results may vary.

Given: 5,600 input tokens at $3/1M, 500 output tokens at $12/1M, 8.1 infrastructure seconds at $6.5/hour, a $0.002 external fee, and a 5% retry rate.

Calculation: Token cost = 5,600 ÷ 1,000,000 × $3 + 500 ÷ 1,000,000 × $12 = $0.0228. Infrastructure = 8.1 ÷ 3,600 × $6.5 = $0.0146. Attempt cost = $0.0228 + $0.0146 + $0.002 = $0.0394. Attempts per completion = 1 ÷ (1 − 0.05) = 1.053. Final cost = $0.0394 × 1.053 = $0.0415.

Result: The estimated cost is $0.0415 per completed task.

Should cached input tokens use the full input price?

Not necessarily. Split cached and uncached input into separate scenarios or use a weighted effective input rate based on actual cache eligibility and provider pricing.

How should subscription or engineering costs be included?

Convert fixed monthly costs to a per-task allocation using expected completed task volume, then add that amount to the displayed result outside this calculator.

What retry rate should I enter?

Use observed failed, rejected, or repeated attempts divided by total attempts. Do not count harmless client polling or streaming chunks as retries.

Does this include human review cost?

Only if you convert human review into a per-attempt external fee. For a fuller business case, add labor and downstream correction costs separately.

Why is output often more expensive than input?

Many providers price generated tokens at a different rate because decoding has different performance characteristics. Enter the rates from the specific model and contract you plan to use.