Using USD display for price cards and history values.

Latest snapshot Apr 13, 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 Low confidence A first trend signal is visible, but confidence is still low. 9 stored points across 14 days. 30d and 90d windows are still awaiting depth. The latest stored comparison already shows a sharp move input move. Treat the latest delta as context, not a durable trend.
Cached pricing $0.100 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 -50% on Apr 13, 22:05.
Stored history 9 points · 14 days Early trend. Recent movement is visible, but 30d and 90d interpretations still depend on more stored time.
Strongest window 7d change looks flat This window looks stable. Use the current price card and broader history depth to decide.
Recommended next step Open compare A recent cut makes this model worth comparing against peers before you lock a choice.
Input price
$0.200 per 1M tokens
Output price
$0.800 per 1M tokens
Cached input
$0.100 per 1M tokens
Blended price
$0.350 75 / 25 input-output mix
Single request estimate $0.0012
Monthly estimate $348.00
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.

Latest detected move: Input -50%. A recent cut makes this model worth comparing against peers before you lock a choice.

Input price -50% Sharp move $0.400 -> $0.200 Delta -$0.200 Apr 10, 22:05 -> Apr 13, 22:05 2 days between stored points This cut may change shortlist rankings. Compare it against nearby alternatives while the cut is fresh.
Output price -50% Sharp move $1.60 -> $0.800 Delta -$0.800 Apr 10, 22:05 -> Apr 13, 22:05 2 days between stored points This cut may change shortlist rankings. Compare it against nearby alternatives while the cut is fresh.

Recent movement is visible, but 30d and 90d interpretations still depend on more stored time.

7d change Apr 6, 22:05 -> Apr 13, 22:05
Input 0% Output 0% Cached 0%
6 stored points across 7 days This window looks stable. Use the current price card and broader history depth to decide.
30d change Awaiting depth Awaiting depth Needs 30+ days of stored snapshots.
90d change Awaiting depth Awaiting depth Needs 90+ days of stored snapshots.
Tracking span Mar 30, 12:00 -> Apr 13, 22:05 14 stored days covered by the visible history.
Latest detected change Input -50% Driven only by stored deltas, not guessed from one point.
History status Early trend Recent movement is visible, but 30d and 90d interpretations still depend on more stored time.
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 $0.400 $1.60 $0.100 OpenAI
Mar 31, 09:56 $0.400 $1.60 $0.100 PricePerToken OpenAI
Apr 1, 22:05 $0.200 $0.800 $0.100 PricePerToken OpenAI
Apr 2, 22:05 $0.400 $1.60 $0.100 PricePerToken OpenAI
Apr 3, 22:05 $0.200 $0.800 $0.100 PricePerToken OpenAI
Apr 4, 22:05 $0.400 $1.60 $0.100 PricePerToken OpenAI
Apr 9, 22:05 $0.200 $0.800 $0.100 PricePerToken OpenAI
Apr 10, 22:05 $0.400 $1.60 $0.100 PricePerToken OpenAI
Apr 13, 22:05 $0.200 $0.800 $0.100 PricePerToken OpenAI
GPT-4.1 Mini output_price_per_million decreased
output_price_per_million changed from USD 1.6 / 1M to USD 0.8 / 1M
Sharp move · Open compare
-50%
Apr 12, 22:05 $1.60 -> $0.800
GPT-4.1 Mini input_price_per_million decreased
input_price_per_million changed from USD 0.4 / 1M to USD 0.2 / 1M
Sharp move · Open compare
-50%
Apr 12, 22:05 $0.400 -> $0.200
GPT-4.1 Mini output_price_per_million increased
output_price_per_million changed from USD 0.8 / 1M to USD 1.6 / 1M
Sharp move · Run in calculator
+100%
Apr 10, 22:05 $0.800 -> $1.60
GPT-4.1 Mini input_price_per_million increased
input_price_per_million changed from USD 0.2 / 1M to USD 0.4 / 1M
Sharp move · Run in calculator
+100%
Apr 10, 22:05 $0.200 -> $0.400
GPT-4.1 Mini output_price_per_million decreased
output_price_per_million changed from USD 1.6 / 1M to USD 0.8 / 1M
Sharp move · Open compare
-50%
Apr 5, 22:05 $1.60 -> $0.800
GPT-4.1 Mini input_price_per_million decreased
input_price_per_million changed from USD 0.4 / 1M to USD 0.2 / 1M
Sharp move · Open compare
-50%
Apr 5, 22:05 $0.400 -> $0.200
GPT-4.1 Mini output_price_per_million increased
output_price_per_million changed from USD 0.8 / 1M to USD 1.6 / 1M
Sharp move · Run in calculator
+100%
Apr 4, 22:05 $0.800 -> $1.60
GPT-4.1 Mini input_price_per_million increased
input_price_per_million changed from USD 0.2 / 1M to USD 0.4 / 1M
Sharp move · Run in calculator
+100%
Apr 4, 22:05 $0.200 -> $0.400

Source and limits

Source PricePerToken OpenAI PricePerToken OpenAI
Recorded check Checked Apr 13, 22:05
Parser version pricepertoken-payload-v1
Context window 1048576
Output limit 32768
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 2026-04-12T09:23:55.468271Z.

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.