Skip to main content

LLM Pricing Calculator

Estimate daily and monthly LLM spend from tokens, request volume, and editable model prices.

  • Runs locally
  • Category AI Tools
  • Best for Estimating cost, shaping prompts, or comparing options before execution.
Per request
$0.0007
Per 1K requests
$0.690
Daily cost
$1.73
Monthly cost
$51.75
Daily cost
Input$0.675
Output$1.05
Monthly cost
Input$20.25
Output$31.50
Monthly requests
75,000

Presets are local planning values and are editable. Confirm vendor pricing before billing or procurement decisions.

What this tool does

Estimate LLM operating cost before a prototype turns into a surprise bill. Enter input tokens per request, output tokens per request, requests per day, and per-million-token prices. Choose from several local model presets or type your own price, then see per-request, per-1000-request, daily, and monthly cost with input/output split. The calculator is built for AI product planning, support automation, coding copilots, batch summarization, and internal agents where request volume can change the budget faster than model quality does. It runs entirely in the browser, makes no API calls, and treats presets as editable planning values rather than live billing truth.

Tool details

Input
Numbers
The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output
Live result
The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy
Browser-side processing
The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share
No account required
Open the page and use it; whether results survive refresh depends on the tool.
Performance budget
Initial JS <= 18 KB
No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit
AI Tools · Developer
Category and role tags drive related tools, internal links, and quick fit checks.

How to use

  1. 1. Input

    Paste or drop your content into the tool panel.

  2. 2. Process

    Click the button. All processing is local in your browser.

  3. 3. Copy / Download

    Copy the result or download to disk in one click.

How LLM Pricing Calculator fits into your work

Use it to plan, compare, or structure AI work before spending time or tokens on the real run.

AI workflow jobs

  • Estimating cost, shaping prompts, or comparing options before execution.
  • Turning vague AI work into a checklist, template, or measurable plan.
  • Keeping repeatable AI tasks consistent across a team.

AI checks

  • Review assumptions before sending data to a model provider.
  • Avoid pasting confidential data into prompts unless your policy allows it.
  • Treat generated recommendations as a draft until verified.

Good next steps

These links move the current task into a more complete workflow.

  1. 1 AI Token Counter AI token counter — estimate token count for GPT / Claude / Gemini, with per-model cost calculator (2026 pricing). Open
  2. 2 AI Model Comparison AI model comparison — 20+ models (GPT / Claude / Gemini / Llama / Qwen) across price, context, speed, capabilities (2026). Open
  3. 3 System Prompt Builder Turn role, task, constraints, and output rules into a structured system prompt you can copy. Open

Real-world use cases

  • Price a support automation before launch

    A support team estimates 12,000 tickets per day, two model calls per ticket, and long drafted replies. Splitting input and output tokens shows whether a cheaper model is enough or whether escalation logic needs to reduce call volume.

  • Compare prototype and production traffic

    A prototype looks cheap at 100 daily requests. The calculator makes the same workflow visible at 50,000 requests per day and 30 days per month, so the team can discuss budget before the feature is promoted.

  • Build a finance-friendly AI budget

    A founder or finance lead can enter conservative token assumptions and model prices, then copy the daily and monthly estimates into a planning spreadsheet without exposing customer data.

Common pitfalls

  • Counting one user action as one model request when the workflow actually calls retrieval, ranking, drafting, and judging separately.

  • Forgetting output tokens. Generated text is often the expensive side of the bill.

  • Using average traffic only and ignoring launch spikes, retries, background jobs, or batch reprocessing.

  • Treating preset prices as live vendor truth instead of editable planning assumptions.

Privacy

Token counts, request volume, and price assumptions stay inside the browser. The tool does not fetch vendor pricing, call an LLM, store numbers in localStorage, or add them to the page URL. Use it for internal forecasts without exposing roadmap or traffic assumptions.

FAQ

Tool combos

Folks in your role tend to reach for these alongside this tool.

Browse all tools for this role
Made by Toolora · 100% client-side · Updated 2026-06-13