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 2 models

MiniMax Cheapest

MiniMax M3.1 Flash

$0.540/ month
$6.48 / year

Released 2026-10-19; $0.15 / $0.60 / $0.015 (¥1 / ¥4 / ¥0.1). Flat rate — no long-context tier, and unlike M3 it does not accept service_tier=priority.

Input
$0.300
Output
$0.240400,000 tokens
Input
$0.15 / 1M2,000,000 tokens
Output
$0.60 / 1M
Context window
1,000,000Last updated: 2026-10-20
MiniMax

MiniMax M3

$1.08/ month
$12.96 / year

Released 2026-06-01. service_tier=priority costs 1.5× ($0.45 / $1.80 / $0.09). No separate cache-write charge. The cached-input rate above 512k doubles to $0.12; cost.ts applies the input multiplier to the cached rate as well.

Input
$0.600
Output
$0.480400,000 tokens
Input
$0.30 / 1M2,000,000 tokens
Output
$1.20 / 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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