Token Cost Calculator

Token Calculator

Cost any prompt across every model on the leaderboard — paste text or enter your monthly usage.

Last updated: 2026-10-20

1,000
2,000
400
1,000 × 2,000in + 400out = 2,000,000 input,400,000 output tokens

Estimated cost across 4 models

Anthropic Cheapest

Claude Haiku 4.5

$4.00/ month
$48.00 / year
Input
$2.00
Output
$2.00400,000 tokens
Input
$1.00 / 1M2,000,000 tokens
Output
$5.00 / 1M
Context window
200,000Last updated: 2026-10-20
Anthropic

Sonnet 5

$8.00/ month
$96.00 / year
Input
$4.00
Output
$4.00400,000 tokens
Input
$2.00 / 1M2,000,000 tokens
Output
$10.00 / 1M
Context window
1,000,000Last updated: 2026-10-20
Anthropic

Opus 5.5

$16.00/ month
$192 / year
Input
$8.00
Output
$8.00400,000 tokens
Input
$4.00 / 1M2,000,000 tokens
Output
$20.00 / 1M
Context window
1,000,000Last updated: 2026-10-20
Anthropic

Fable 5.1

$40.00/ month
$480 / year
Input
$20.00
Output
$20.00400,000 tokens
Input
$10.00 / 1M2,000,000 tokens
Output
$50.00 / 1M
Context window
1,000,000Last updated: 2026-10-20

Prices verified 2026-10-20. Source: official provider pricing pages. · Machine-readable: /api/prices.json

Token Cost Calculator

Frequently asked questions

How much does 1 million tokens cost?
It depends entirely on the model. GPT-5 nano is around $0.05 input / $0.40 output per 1M tokens; Claude Opus 4.5 is $5 / $25; Gemini 2.5 Flash is $0.30 / $2.50. Use the calculator above to compare every major model at your exact usage.
How do I count tokens?
For OpenAI models, the calculator uses the real tokenizer (o200k_base for GPT-5, cl100k_base for older families). For Anthropic, Google, DeepSeek, MiniMax, and Grok, it uses a CJK-aware character approximation — accurate to within ~10% for English, ~5% for Chinese.
How accurate is this calculator?
Token counts are exact for OpenAI-family models and approximate for everyone else. Prices are sourced from each provider's official pricing page and re-verified regularly, but providers change prices without notice — always check the source link on each model card before relying on a number for billing.
What is prompt caching?
Prompt caching lets you reuse a previously-seen prefix (system prompt, tool definitions, large document) across requests at a fraction of the normal input cost. Anthropic charges ~90% less for cached reads; OpenAI charges ~90% less on GPT-5; DeepSeek charges ~90% less for cache hits. The biggest single cost saver for repeat-prompt workloads.
How often are prices updated?
Prices are re-verified against each provider's official pricing page regularly. The "Updated YYYY-MM-DD" stamp at the top of the page reflects the last verification. A machine-readable version is available at /api/prices.json — same data, designed for AI agents and programmatic access.
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