OpenAI

GPT-5 nano token cost calculator

Cheapest GPT-5 family option for bulk, latency-sensitive workloads.

Published list rates

Input

$0.05

per 1M tokens

Output

$0.4

per 1M tokens

Cached input

$0.005

per 1M tokens

Context window

400,000

tokens

Pricing source: OpenAI API pricing

Token cost calculator

List prices are stored in US dollars. Conversions use the units-per-dollar exchange-rate snapshot last checked 2026-07-31

Estimate from text

Calculate from a token total

Project monthly volume

Uses the input/output mix above and a 30-day month: requests per day × tokens per request × 30.

Estimated cost

Estimated tokens
Characters
Words
Input tokens
Output tokens
Input cost
Output cost
Total cost
Combined price per 1M tokens
Estimated monthly cost
Estimated daily cost

Cost by token volume

Compare input-only, output-only, and 70/30 mixed workloads from one token to 100 billion. Intermediate bands make smaller production steps easier to price.

Tokens Input only Output only 70/30 mix
1 $0.00000005 $0.0000004 $0.000000155
10 $0.0000005 $0.000004 $0.000002
100 $0.000005 $0.00004 $0.000016
200 $0.00001 $0.00008 $0.000031
300 $0.000015 $0.00012 $0.000047
400 $0.00002 $0.00016 $0.000062
500 $0.000025 $0.0002 $0.000078
1,000 $0.00005 $0.0004 $0.000155
2,000 $0.0001 $0.0008 $0.00031
5,000 $0.00025 $0.002 $0.000775
10,000 $0.0005 $0.004 $0.00155
25,000 $0.00125 $0.01 $0.003875
50,000 $0.0025 $0.02 $0.00775
100,000 $0.005 $0.04 $0.0155
250,000 $0.0125 $0.1 $0.03875
500,000 $0.025 $0.2 $0.0775
1,000,000 $0.05 $0.4 $0.155
5,000,000 $0.25 $2.00 $0.775
10,000,000 $0.5 $4.00 $1.55
50,000,000 $2.50 $20.00 $7.75
100,000,000 $5.00 $40.00 $15.50
500,000,000 $25.00 $200.00 $77.50
1,000,000,000 $50.00 $400.00 $155.00
10,000,000,000 $500.00 $4,000.00 $1,550.00
100,000,000,000 $5,000.00 $40,000.00 $15,500.00

Tokens available by budget

See how many tokens a fixed budget buys at the published rates. Display-currency values use the current exchange-rate snapshot shown on the page.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 200,000 25,000 64,516
$0.1 2M 250,000 645,161
$0.5 10M 1.25M 3.23M
$1.00 20M 2.5M 6.45M
$5.00 100M 12.5M 32.3M
$10.00 200M 25M 64.5M
$20.00 400M 50M 129M
$25.00 500M 62.5M 161.3M
$30.00 600M 75M 193.5M
$50.00 1B 125M 322.6M
$100.00 2B 250M 645.2M
$250.00 5B 625M 1.61B
$500.00 10B 1.25B 3.23B
$1,000.00 20B 2.5B 6.45B
$5,000.00 100B 12.5B 32.3B
$10,000.00 200B 25B 64.5B

Cost profile

  • A workload with 70% input and 30% output costs $0.155 per 1 million total tokens and $15.50 per 100 million.
  • At the same token count, output costs 8 times the input rate. Response length therefore deserves its own budget limit.
  • Filling the 400,000-token context window with input alone would cost about $0.02, before any output.
  • Cached input is $0.005 per million, 90% below standard input when the workload meets the provider’s cache rules.

About OpenAI

OpenAI API models for chat, reasoning, coding, and multimodal work. The GPT-5 nano page covers this meter in detail; the OpenAI hub gathers the rest of the lineup with a pricing table, list-rate ranges, and calculators side by side.

See all OpenAI models and the pricing table

How the text estimate works

For rough planning, CostUse uses about four characters per token and about 0.75 words per token. Actual tokenization changes with language, model, formatting, and special tokens.

These results use public list prices. Cache eligibility, batch or priority modes, long-context surcharges, discounts, and regional billing can change the final invoice.

Questions about this rate

How much is 1 million mixed tokens on GPT-5 nano?

About $0.155 at a 70% input / 30% output mix using list prices verified 2026-07-29.

How much are 100 million mixed tokens?

About $15.50 at the same 70/30 mix — useful for rough monthly volume planning.

What is the GPT-5 nano price per million input and output tokens?

Input $0.05 and output $0.4 per 1M tokens (USD list rates). Use the calculator above with your real token mix.

Is the text-to-token estimate exact?

No. The estimator approximates tokens from characters and words. Real bills depend on the provider tokenizer, special tokens, and discounts (cache, batch, priority).

What does cost per token mean, and why is output usually more expensive?

Providers charge for tokens processed. Output tokens (generated replies) often cost several times more than input tokens (your prompt), so completion length can dominate the bill.

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