What is an AI token calculator?

An AI token calculator estimates how many tokens your prompt uses and what that would cost on LLM APIs such as GPT, Claude and Gemini, so you can budget before you call the model.

How do I estimate GPT and Claude API costs free?

Paste your prompt, set an expected output size, and read the provider cards. This free AI token calculator runs in your browser and compares multiple models at once.

Are token counts exact for billing?

No. Counts here are honest heuristics (with optional manual override). For invoice-level accuracy use each provider’s official tokenizer or usage API.

Does this calculator include prompt caching prices?

Yes. Set a cache-hit percentage to bill part of the input at cached-read rates, and optionally model Anthropic-style cache writes with 5-minute or 1-hour TTLs.

What is a long-context pricing tier?

Some Gemini and Claude prices rise after a token break (often 200K). When your estimated input crosses that break, the card switches to the higher published rates automatically.

Can I compare Batch API discounts?

Yes. Enable the Batch toggle to apply an approximate 50% discount on models that advertise batch pricing, which is useful for offline evaluation jobs.

Which AI model is cheapest right now?

Sort by cheapest first after entering your real prompt and output size. Efficiency models usually win on pure dollars; flagship reasoning models cost more for harder work.

Is my prompt uploaded to calculate token costs?

No. Estimation and pricing math run locally in JavaScript. Nothing is sent to PixelAndPDF servers.

How do monthly LLM cost projections work?

Enter requests per day. Monthly cost ≈ per-request total × requests × 30. Adjust volume to stress-test budgets before you ship.

Does the AI token calculator work on mobile?

Yes. Paste a prompt on your phone, tweak output size and cache options, and compare provider cards without installing anything.

AI Token Calculator — Free LLM Cost Estimates

Paste a prompt and see estimated input tokens, expected output tokens and dollar cost across major AI models. Compare OpenAI, Anthropic, Google Gemini, DeepSeek, Grok and Perplexity with prompt-cache hits, Anthropic-style cache writes, long-context price tiers, Batch API discounts and a monthly volume projection — all calculated on your device.

How to use the ai token calculator

Paste the prompt or context you plan to send, or type an example.
Set expected output size (preset, percentage or exact tokens) and optional cache / batch options.
Sort the provider cards to find the cheapest fit, then copy the estimate table if you need it in a doc.

How this AI token calculator estimates cost

API bills are almost always (tokens ÷ 1,000,000) × published rate. The hard part is knowing the token count before you call the model. This calculator estimates tokens in the browser with a script-aware heuristic: English prose is treated roughly like four characters per token with a word-based blend, source code uses a denser factor, and CJK-heavy text uses a tighter characters-per-token assumption. You can override the input count with a figure from tiktoken or a vendor playground when you need a tighter match.

Output size is under your control because generation length varies more than prompt length. Presets map common jobs — classification, RAG answers, chat replies, full rewrites, long generation — onto percentages of the input. Custom percentages and exact token fields cover the cases where you already know max_tokens or have production telemetry. The dollar cards then apply each model’s list rates, including cached-input reads when the vendor publishes them.

Prompt caching, batch discounts and long-context tiers

Modern pricing is not a single input/output pair. OpenAI, Anthropic, Google and DeepSeek publish cheaper rates for cached prompt prefixes; Anthropic also bills cache writes at 5-minute or 1-hour TTLs. Gemini and some Claude SKUs jump to a higher band once the prompt crosses a context break (often 200K tokens). Batch APIs commonly cut eligible chat rates by about half when latency is flexible. This tool exposes those levers so a “cheap” model on paper does not look artificially expensive — or cheap — once caching and tiers are honest.

Use the cache-hit slider for the share of input you expect to hit an existing cache, and the cache-write control when you are modelling the first fill of an Anthropic cache. Turn on Batch only for workloads that can wait. Long-context tiers flip automatically when estimated input exceeds a model’s published break, and the card labels that state so you can see why a total jumped.

Picking a model for budget versus quality

Cost spreads across providers are enormous for the same token counts. Efficiency models (nano, Flash, Haiku, DeepSeek Flash, Grok Fast) are built for high-volume classification, routing and extraction. Mid-tier chat models usually carry product assistants and coding agents. Flagship reasoning SKUs earn their keep on hard analysis, long agent loops and high-stakes drafting — not on “extract the email address”. A practical pattern is a cascade: cheap models triage, stronger models handle the ambiguous remainder.

Monthly projection multiplies per-request cost by requests per day × 30. That is deliberately simple — it ignores retries, tool-call loops and free tiers — but it turns a $0.004 line into a spreadsheet-ready monthly figure before you commit. Always re-check official pricing pages before signing a contract; list rates move, and enterprise discounts are negotiated off this page entirely.

Privacy and what this calculator does not do

Your prompt never leaves the browser. There is no upload, no account and no server-side tokenizer call. That makes the tool safe for drafts that contain customer text, unreleased product plans or API keys you are about to rotate — with the obvious caveat that you should still not paste live secrets into any form you do not need to.

It also does not execute models, reserve capacity or guarantee invoice totals. Tokenisers differ by vendor; reasoning traces and tool calls can inflate output; image and audio tokens are out of scope. Treat the cards as a planning surface, then confirm with provider usage dashboards once traffic is real.

Frequently asked questions

What is an AI token calculator?: An AI token calculator estimates how many tokens your prompt uses and what that would cost on LLM APIs such as GPT, Claude and Gemini, so you can budget before you call the model.
How do I estimate GPT and Claude API costs free?: Paste your prompt, set an expected output size, and read the provider cards. This free AI token calculator runs in your browser and compares multiple models at once.
Are token counts exact for billing?: No. Counts here are honest heuristics (with optional manual override). For invoice-level accuracy use each provider’s official tokenizer or usage API.
Does this calculator include prompt caching prices?: Yes. Set a cache-hit percentage to bill part of the input at cached-read rates, and optionally model Anthropic-style cache writes with 5-minute or 1-hour TTLs.
What is a long-context pricing tier?: Some Gemini and Claude prices rise after a token break (often 200K). When your estimated input crosses that break, the card switches to the higher published rates automatically.
Can I compare Batch API discounts?: Yes. Enable the Batch toggle to apply an approximate 50% discount on models that advertise batch pricing, which is useful for offline evaluation jobs.
Which AI model is cheapest right now?: Sort by cheapest first after entering your real prompt and output size. Efficiency models usually win on pure dollars; flagship reasoning models cost more for harder work.
Is my prompt uploaded to calculate token costs?: No. Estimation and pricing math run locally in JavaScript. Nothing is sent to PixelAndPDF servers.
How do monthly LLM cost projections work?: Enter requests per day. Monthly cost ≈ per-request total × requests × 30. Adjust volume to stress-test budgets before you ship.
Does the AI token calculator work on mobile?: Yes. Paste a prompt on your phone, tweak output size and cache options, and compare provider cards without installing anything.

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Runs entirely in your browser — your files and text never leave this device. Last reviewed July 30, 2026.