AI & LLM

AI Token Cost Calculator

Estimate what a language-model feature will actually cost at volume.

Runs entirely in your browser · Nothing is sent or stored · No signup

Volume
%

Failed parses, timeouts, validation failures.

Include system prompt and retrieved context.

Primary model pricing (per 1M tokens)
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$
$
%

Share of input served from prompt cache.

Tiering comparison
%
$
$
Prices are per million tokens and change often — check your provider's current pricing page and enter the real numbers. Nothing here is sent anywhere; the calculation runs entirely in your browser.

Estimated monthly cost

$735

$8,818 per year · $0.0147 per request

Where the money goes

Input tokens$249
Output tokens$486
Output share of cost66%
Spent on retries$54
Tokens per month162.0M

With model tiering

Tiered monthly cost$366
Saving$369 (50%)

Output tokens are 66% of your cost. Shortening responses, or returning structured data instead of prose, is the highest-leverage change available.

What people underestimate#

Output tokens. They typically cost several times more than input tokens, and a feature that generates long responses is dominated by output cost even when the prompt is large.

Retries. Every failed parse, timeout and validation failure is a paid call. A 10% retry rate is a 10% cost increase that does not appear in any estimate made from the happy path.

Context growth. A conversation feature's cost grows with conversation length. Estimating from a single-turn call understates a multi-turn feature substantially.

Tiering is the biggest lever#

Routing straightforward work to a smaller model and escalating only when needed routinely cuts cost by half or more with no measurable quality change. Model both tiers here and compare — the result is usually more dramatic than people expect.

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