Pricing comparison

GPT-5.5 nano vs GPT-5 mini

Per-token pricing, full-workload cost ladders, and monthly volume projections. Numbers sourced directly from each provider's rate card.

OpenAI

GPT-5.5 nano

Input
$0.25 / 1M
Output
$1.50 / 1M
Cached input
$0.025 / 1M
Context
400K
Max output
128K

OpenAI

GPT-5 mini

Input
$0.25 / 1M
Output
$2.00 / 1M
Cached input
$0.025 / 1M
Context
400K
Max output
128K

Cost per request

Four common workload shapes, input tokens and a 1:2 output ratio (a standard chat/completion pattern). Long-context surcharges apply automatically where the provider charges them.

ScenarioTokens (in / out)GPT-5.5 nanoGPT-5 miniWinner
Short prompt100 / 200$0.0003$0.0004GPT-5.5 nano
Typical request1,000 / 2,000$0.0033$0.0043GPT-5.5 nano
Long document10,000 / 5,000$0.0100$0.0125GPT-5.5 nano
Large prompt100,000 / 10,000$0.0400$0.0450GPT-5.5 nano

Monthly bill at scale

Projected monthly cost at typical request volume, assuming the "typical request" shape above (1k in, 2k out).

TrafficReq / monthGPT-5.5 nanoGPT-5 miniDelta
Small SaaS1,000$3.25$4.25GPT-5.5 nano -$1.00
Growing product10,000$32.50$42.50GPT-5.5 nano -$10.00
Heavy usage100,000$325.00$425.00GPT-5.5 nano -$100.00

Which should you use?

For the typical chat-shape request (~1k input, 2k output), GPT-5.5 nano comes out 31% cheaper. If you're picking one as the default, that's usually the right choice on cost alone.

Live cost calculator

Type in any token counts - both prices update instantly. Uses base input/output rates (no cache discount, no long-context tier).

GPT-5.5 nano

NEW

$0.0010

per request

GPT-5 mini

$0.0013

per request

GPT-5.5 nano is $0.0003 cheaper per request (20.0% less).

Try both in the estimator →

Drop your actual prompt in, tokens are counted with the provider's own tokenizer, and the dollar number matches what lands on your invoice.

Frequently asked

Which is cheaper, GPT-5.5 nano or GPT-5 mini?
On a typical 1,000-input / 2,000-output request, GPT-5.5 nano costs ~$0.0033 vs ~$0.0043 on GPT-5 mini. Input or output rates can flip the answer for very lopsided workloads - see the cost ladder above.
What's the difference in per-token pricing?
GPT-5.5 nano charges $0.25 per 1M input tokens and $1.50 per 1M output tokens. GPT-5 mini charges $0.25 / $2.00 per 1M.
Which has the bigger context window?
Both hold 400K of input.
Is there a cached-input discount on either?
GPT-5.5 nano caches at $0.025 per 1M (90% off). GPT-5 mini caches at $0.025 per 1M (90% off). Workloads with repeated static prefixes see the biggest savings.
How fresh is this comparison?
GPT-5.5 nano was re-verified on 2026-04-29 and GPT-5 mini on 2026-04-06 against each provider's published rate card. Calcis re-checks every row on a rolling schedule and re-deploys when a provider changes pricing.

GPT-5.5 nano verified 2026-04-29 · GPT-5 mini verified 2026-04-06. Rate cards at OpenAI and OpenAI.