Pricing comparison

GPT-5.5 vs GPT-5.5 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

Input
$3.00 / 1M
Output
$20.00 / 1M
Cached input
$0.300 / 1M
Context
1.1M
Max output
128K

OpenAI

GPT-5.5 mini

Input
$0.90 / 1M
Output
$5.50 / 1M
Cached input
$0.090 / 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-5.5GPT-5.5 miniWinner
Short prompt100 / 200$0.0043$0.0012GPT-5.5 mini
Typical request1,000 / 2,000$0.0430$0.0119GPT-5.5 mini
Long document10,000 / 5,000$0.1300$0.0365GPT-5.5 mini
Large prompt100,000 / 10,000$0.5000$0.1450GPT-5.5 mini

Monthly bill at scale

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

TrafficReq / monthGPT-5.5GPT-5.5 miniDelta
Small SaaS1,000$43.00$11.90GPT-5.5 mini -$31.10
Growing product10,000$430.00$119.00GPT-5.5 mini -$311.00
Heavy usage100,000$4,300$1,190GPT-5.5 mini -$3,110

Which should you use?

For the typical chat-shape request (~1k input, 2k output), GPT-5.5 mini comes out 261% cheaper. If you're picking one as the default, that's usually the right choice on cost alone.

GPT-5.5 mini wins on both sides of the bill - cheaper input and cheaper output. If the quality gap is in your favour, there's no cost argument for the other side.

Context window differs: GPT-5.5 holds 1.1M of input vs 400K on the other side. If you regularly push past the smaller ceiling, the comparison ends there.

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

NEW

$0.0130

per request

GPT-5.5 mini

NEW

$0.0037

per request

GPT-5.5 mini is $0.0094 cheaper per request (71.9% 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 or GPT-5.5 mini?
On a typical 1,000-input / 2,000-output request, GPT-5.5 mini costs ~$0.0119 vs ~$0.0430 on GPT-5.5. 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 charges $3.00 per 1M input tokens and $20.00 per 1M output tokens. GPT-5.5 mini charges $0.90 / $5.50 per 1M.
Which has the bigger context window?
GPT-5.5 is larger (1.1M) vs 400K on the other.
Is there a cached-input discount on either?
GPT-5.5 caches at $0.300 per 1M (90% off). GPT-5.5 mini caches at $0.090 per 1M (90% off). Workloads with repeated static prefixes see the biggest savings.
How fresh is this comparison?
GPT-5.5 was re-verified on 2026-04-29 and GPT-5.5 mini on 2026-04-29 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 verified 2026-04-29 · GPT-5.5 mini verified 2026-04-29. Rate cards at OpenAI and OpenAI.