🧪

AI Agent Prompt Testing Budget Calculator

Estimate the monthly cost of AI agent prompt testing across model providers, few-shot variants, and evaluators. Plan regression suites, A/B experiments, and safety batches.

Scenario presets

Test configuration

LLM provider Prompt variants Runs per variant Input tokens / run Output tokens / run Cached input (%) Evaluator Reviewer hourly cost ($) Review minutes / run Setup hours Setup hourly rate ($) Projection (months)

Estimates are directional. Last updated: 2026-07-08. See notes.

Total test runs

—

Monthly inference cost

—

Monthly eval cost

—

Total monthly test budget

—

Cost per run

—

Cost per 1k runs

—

Review labor / month

—

Setup cost (one-time)

—

Projected period cost

—

Inference vs eval split

—

Monthly cost breakdown

Cost line	Monthly	Share
Inference tokens (uncached input + cached input + output)	—	—
Evaluator cost	—	—
Human review labor	—	—
Total monthly	—	—

Verdict

—

Frequently asked questions

What does this calculator estimate?

It estimates the all-in cost to run a prompt evaluation program: inference tokens across variants and runs, evaluator costs (LLM-as-judge, human review, rubric, or managed platform), and human review labor.

How are variants counted?

Each variant is a distinct prompt version, system message, or few-shot example set. Total test runs = variants × runs per variant. Each run consumes the input and output tokens you set.

What is cached input?

A percentage of each prompt's input tokens that are repeated across runs and eligible for provider prompt-cache discounts. Some providers offer 50% off cached input tokens.

Which evaluator is cheapest?

Rules/rubric scorers are free but limited. LLM-as-judge with a cheap model is usually the lowest-cost scalable option. Human review is the most expensive per run but necessary for safety and policy checks. Managed platforms charge per-record fees that can add up quickly.

Should I include setup time?

Yes. Designing test sets, writing eval rubrics, and triaging failures are real costs. Enter your hourly rate and estimated hours to see the fully-loaded test budget.

How often should I run prompt regression tests?

Run a lean sanity check before every deploy, a full regression weekly or bi-weekly, and targeted red-team batches after any model or policy change.

API Pricing Comparator → Red Team Cost Calc → Prompt Reliability Checker → Evaluation Planner →

Prices are approximate per-token list rates as of mid-2026. Managed evaluation platforms may charge per-record or per-run rather than per-token; treat results as directional for budgeting.