OpenAI

GPT-5 nano token cost

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

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Project monthly volume

Daily requests × tokens per request × 30 days.

Estimated cost

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Cost as volume grows

What GPT-5 nano costs if you only send tokens, only get a reply, or do both (70% in / 30% out). Rows start small and go up to huge traffic.

Tokens Input only Output only Mix (70% in / 30% out)
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 for a fixed budget

Tokens GPT-5 nano can process for a set budget — send-only, reply-only, and a 70/30 mix.

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

At these rates

  • 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.

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

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