Monthly Cost $723.00 1,000 requests per day · 1,000 input · 500 output · 30 days
Open full calculator
Input price
$0.250 per 1M tokens
Output price
$2.00 per 1M tokens
Cached input
$0.025 per 1M tokens
Blended price
$0.688 75 / 25 input-output mix
GPT-5 Mini API pricing answer GPT-5 Mini currently lists $0.250 input and $2.00 output per 1M tokens. Latest stored update: Jul 21, 22:05. Source: PricePerToken OpenAI.

Using USD display for price cards and history values.

Latest snapshot Jul 21, 22:05 Most recent stored public pricing point for this model.
Source PricePerToken OpenAI Source page Keep the source link visible so the latest stored number stays manually verifiable.
Source mode Fallback source Verified fallback is in use because the preferred official page is not consistently crawlable right now.
History signal Usable signal Stored history is deep enough to use trend language with more confidence. 44 stored points across 113 days. 7d, 30d, and 90d windows are already ready. No tracked window is currently blocked by missing depth. The latest stored comparison already shows a sharp move input move.
Cached pricing $0.025 Cached input pricing only appears when the source exposes it clearly.
Batch discount Not listed Shown only when a provider-listed batch price is normalized. Do not mix it with realtime pricing assumptions.
Latest move Sharp move Input changed +100% on Jul 21, 22:05.
Stored history 44 points · 113 days Trend-ready. Stored history is deep enough to read short-term movement with more confidence.
Strongest window 7d change shows an increase Input pricing is up in this window. Re-check workload cost assumptions.
Recommended next step Run in calculator The latest stored move is an increase, so cost impact is the first question to answer.
Single request estimate $0.0024
Monthly estimate $723.00
Batch discount Not listed
How to read this estimate The reference workload is a fast sanity check, not a forecast. If your prompt shape, cache ratio, or monthly traffic differs, jump to the calculator with this model preselected and adjust the assumptions there.
Start from this model Compare shortlist Open compare with this model selected, then add nearby candidates from the same provider or workload class. Open compare
Calculator path Prefilled workload Estimate GPT-5 Mini first, then add alternatives after your token and traffic assumptions are set. Calculate Cost

Latest detected move: Input +100%. The latest stored move is an increase, so cost impact is the first question to answer.

Input price +100% Sharp move $0.125 -> $0.250 Delta +$0.125 Jul 20, 22:05 -> Jul 21, 22:05 1 days between stored points This move raises spend assumptions. Re-run your workload in the calculator before committing budget.
Output price +100% Sharp move $1.00 -> $2.00 Delta +$1.00 Jul 20, 22:05 -> Jul 21, 22:05 1 days between stored points This move raises spend assumptions. Re-run your workload in the calculator before committing budget.
Cached input price +100% Sharp move $0.013 -> $0.025 Delta +$0.013 Jul 20, 22:05 -> Jul 21, 22:05 1 days between stored points This move raises spend assumptions. Re-run your workload in the calculator before committing budget.

Stored history is deep enough to read short-term movement with more confidence.

7d change Jul 8, 22:05 -> Jul 21, 22:05
Input +100% Output +100% Cached 0%
8 stored points across 12 days Input pricing is up in this window. Re-check workload cost assumptions.
30d change Jun 20, 22:05 -> Jul 21, 22:05
Input +100% Output +100% Cached 0%
24 stored points across 30 days Input pricing is up in this window. Re-check workload cost assumptions.
90d change Apr 21, 22:05 -> Jul 21, 22:05
Input 0% Output 0% Cached 0%
64 stored points across 91 days This window looks stable. Use the current price card and broader history depth to decide.
Tracking span Mar 30, 12:00 -> Jul 21, 22:05 113 stored days covered by the visible history.
Latest detected change Input +100% Driven only by stored deltas, not guessed from one point.
History status Trend-ready Stored history is deep enough to read short-term movement with more confidence.
Input Output Cached

Shared scale across visible pricing lines. Use the table below for exact values.

Captured at Input / 1M Output / 1M Cached / 1M Source
Mar 30, 12:00 $0.250 $2.00 $0.025 OpenAI
Mar 31, 09:56 $0.125 $1.00 $0.025 PricePerToken OpenAI
Apr 1, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Apr 3, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Apr 4, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Apr 5, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Apr 10, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Apr 17, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Apr 26, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Apr 30, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
May 11, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
May 12, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
May 21, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
May 22, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
May 26, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
May 27, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
May 29, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 1, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 3, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 4, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 7, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 8, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 9, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 12, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 13, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 14, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 16, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 17, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 19, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 22, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 23, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 25, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jun 27, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jun 29, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jul 1, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jul 2, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jul 4, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jul 6, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jul 7, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jul 8, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jul 15, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
Jul 16, 22:05 $0.125 $1.00 $0.025 PricePerToken OpenAI
Jul 20, 22:05 $0.125 $1.00 $0.013 PricePerToken OpenAI
Jul 21, 22:05 $0.250 $2.00 $0.025 PricePerToken OpenAI
GPT-5 Mini cached_input_price_per_million increased
cached_input_price_per_million changed from USD 0.0125 / 1M to USD 0.025 / 1M
Sharp move · Run in calculator
+100%
Jul 21, 22:05 $0.013 -> $0.025
GPT-5 Mini output_price_per_million increased
output_price_per_million changed from USD 1 / 1M to USD 2 / 1M
Sharp move · Run in calculator
+100%
Jul 21, 22:05 $1.00 -> $2.00
GPT-5 Mini input_price_per_million increased
input_price_per_million changed from USD 0.125 / 1M to USD 0.25 / 1M
Sharp move · Run in calculator
+100%
Jul 21, 22:05 $0.125 -> $0.250
GPT-5 Mini cached_input_price_per_million decreased
cached_input_price_per_million changed from USD 0.025 / 1M to USD 0.0125 / 1M
Sharp move · Open compare
-50%
Jul 17, 22:05 $0.025 -> $0.013
GPT-5 Mini output_price_per_million decreased
output_price_per_million changed from USD 2 / 1M to USD 1 / 1M
Sharp move · Open compare
-50%
Jul 16, 22:05 $2.00 -> $1.00
GPT-5 Mini input_price_per_million decreased
input_price_per_million changed from USD 0.25 / 1M to USD 0.125 / 1M
Sharp move · Open compare
-50%
Jul 16, 22:05 $0.250 -> $0.125
GPT-5 Mini output_price_per_million increased
output_price_per_million changed from USD 1 / 1M to USD 2 / 1M
Sharp move · Run in calculator
+100%
Jul 15, 22:05 $1.00 -> $2.00
GPT-5 Mini input_price_per_million increased
input_price_per_million changed from USD 0.125 / 1M to USD 0.25 / 1M
Sharp move · Run in calculator
+100%
Jul 15, 22:05 $0.125 -> $0.250

Source and limits

Source PricePerToken OpenAI PricePerToken OpenAI
Recorded check Checked Jul 21, 22:05
Parser version pricepertoken-payload-v1
Context window 400000
Output limit 128000
Trust policy This page stays official-first whenever the provider page is crawlable. If not, verified fallback or baseline states stay explicit so the source trace never over-claims a live official crawl.
Source note Fallback snapshot from PricePerToken because OpenAI official pricing pages currently return an anti-bot challenge to server-side crawlers. Source updated at 2026-07-21T08:27:19.580570Z.

When this model detail is enough

Use this page when you need a single-model read: current price, source traceability, recent change strength, and enough stored history to judge whether the latest move is actionable.

When to escalate to compare

If a recent price cut or a stable multi-point window makes this model newly competitive, move to compare so every candidate runs against the same workload assumptions.

When to escalate to calculator

If a recent price increase changes spend assumptions or history is still thin, use calculator next so you can replace the reference workload with your own traffic, cache ratio, and budget ceiling.

How much does GPT-5 Mini cost? Current price

GPT-5 Mini currently costs $0.250 per 1M input tokens and $2.00 per 1M output tokens in the latest stored snapshot.

What is the monthly cost for GPT-5 Mini? Quick Estimate

The built-in quick estimate uses 2k input + 1k output, 20% cache hit, 300k requests / month and returns $723.00 per month. Use Calculate Cost to adjust token counts, request volume, cache ratio, batch mode, and budget.

Can GPT-5 Mini support 100 users? Workload fit

A 100-user estimate depends on how many requests each user sends and how large the prompts and responses are. This page lists context window and output limit; the calculator link is prefilled with GPT-5 Mini so you can model real traffic.

Is there a cheaper alternative to GPT-5 Mini? Similar Models

Use the Similar Models section above to open a shortlist in compare, then move to calculator once your workload assumptions are set. The page does not guess a winner from price alone because cached input, output mix, and batch mode can change the result.