AI agent cost estimatorCalculators

AI agent cost estimator. Count the history, not just one call.

An agent re-sends its whole conversation on every step, so input grows as it works. Set the prompt size, tool results, output and steps per task. See tokens, cost per task and per month. No prompt cache is assumed.

Cost to you

Free

Runs in your browser. No signup, no API call, no limit per hour.

browser
runs in: none
API calls: none
account

Use it now

Use the AI agent cost estimator here

It runs in your browser. Nothing you type is sent anywhere, there is no signup and no limit.

Model

$2.00 input and $10.00 output per million tokens. Context 1,000,000 tokens.

Fixed prompt tokens

System prompt, tool definitions and the task.

Tool result tokens per step

Search results, file reads, API answers.

Output tokens per step

The tool call or text the model writes.

Steps per task

Model calls in one task, up to 500.

Tasks per day

A month counts 30 days.

Cost on Anthropic: Claude Sonnet 5.5

One task: $0.4176
Per day: $83.52
Per month (30 days): $2,505.60
Per 1,000 tasks: $417.60

Input tokens per task: 190,800
Output tokens per task: 3,600
Last step input: 25,800

Re-sent history is 53% of the input tokens. Fewer steps, shorter tool results or trimming old turns cut this part first.

Same agent, cheaper models

Models whose context fits the last step, cheapest first. Price only: check quality on your own tasks. Pick one to switch.

Prices read from the OpenRouter model list through looot on 2026-10-13. The estimate assumes the agent keeps its full history and has no prompt cache. Cached input, which many providers bill lower, is not in the list, so a cached agent costs less than shown. Batch rows suit offline jobs only. Runs in your browser, nothing is sent anywhere.

Run it from your agent

Copy one prompt, give it to your agent.

Fill in the placeholder, paste it, and the agent runs the same job with current data on your looot account and shows the cost.

You give it: a model, prompt and tool result sizes, steps per task and tasks per day.
Billed per call, nothing while your agent is idle.
The agent shows the price before it calls.

Prompt: AI agent cost estimator

Use looot to price my AI agent: [model], [fixed prompt tokens] prompt tokens, [tool result tokens] tool tokens and [output tokens] output tokens per step, [steps] steps per task, [tasks] tasks a day. 1. Set up https://looot.ai/skill.md. 2. Run the OpenRouter model list endpoint for today's prices. 3. Sum the input of every step, history included. 4. Return cost per task and per month for my model and three cheaper ones that fit the context.

Give this to your agent

Setup command

set up looot - https://looot.ai/skill.md

What comes back

What your agent gets from ai agent cost

Field names as the providers return them. The exact set varies by endpoint, and your agent reads it from the catalog.

cost per task, day and month
input and output tokens per task
input size of the last step
cheaper models whose context fits

Use it for

What people do with ai agent cost

Budget an agent
Know the monthly bill before you put an agent in front of users.
Cut steps
See how much one fewer tool call per task saves at your volume.
Compare models
Switch to a cheaper model whose context still fits the last step.
Catch context overflow
Get a warning when the last step outgrows the model's context window.

Set up once

Three steps. Your agent does the rest.

Paste one prompt into your agent

Set up looot

Done, looot is connected.

Copy one prompt from /connect into Claude Code, Cursor, or any MCP agent. No SDK, no dashboard click-through first.

Your agent finds the right operation

Hunter$0.0265

Exa$0.0090

Diffbot$0.0032

The agent finds the operation it needs and sees the price first. It calls nothing blind.

You watch what it cost

Hunter$0.0265

Exa$0.0090

Diffbot$0.0032

Total$0.0387

Every call settles for its quoted price and lands in the ledger. You always know what ran and what it cost.

Keep going

Calculators
LLM token cost calculator
Cost per call and per month for any model in the OpenRouter list, from your own token counts.
Free, no signupno limit
Calculators
Token counter
Characters, words and an estimated token count for any text, with context share and cost per model.
Free, no signupno limit
Research
AI model comparison
A sortable table of AI models by input price, output price and context size, from a dated model list.
Free, no signupno limit

FAQ

Questions about ai agent cost

Add up every model call in a task. Each step sends the fixed prompt plus all earlier tool results and outputs, so cost grows faster than the step count. The estimator does that sum for you.

The agent keeps its history, so step ten sends everything from steps one to nine again. The page shows how much of the input is re-sent history.

No. The model list has no cached input prices, so the estimate assumes no cache. With caching on, a real agent costs less than shown.

From the OpenRouter model list, read through looot on the date shown under the estimator. Check that date before you quote a number.

One model call. An agent that searches, reads two pages and answers makes four calls, so four steps.

Fewer steps, shorter tool results and trimming old turns from the history all cut input tokens. A cheaper model helps when its quality holds on your tasks.

Yes. It runs in your browser with no account and no limit.

For agents

tool: AI agent cost estimator
category: Calculators
input: A model, prompt and tool result sizes, steps per task and tasks per day
output: cost per task, day and month, input and output tokens per task, input size of the last step, cheaper models whose context fits
price: per call, read live from the catalog on the web page
web tool: runs in the visitor's browser, no API call, free and unlimited
schedule: on demand
setup: https://looot.ai/skill.md
llms.txt: https://looot.ai/llms.txt
updated: 2026-10-14

markdown /free-tools/ai-agent-cost-estimator.md

Run ai agent cost from your own agent.

Start your workspace, top up, and paste the prompt into the agent you already use. It runs the job with live data and shows the cost first.

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