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GPT-4.1 Nano

gpt-4.1-nano · text · active

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Display currency

Current prices, reference costs, recent deltas, and history values switch to the selected display currency when FX is available.

Using USD display for price cards and history values.

At a glance

This block answers the immediate questions: where the price came from, how fresh it is, and whether cache or batch pricing exists.

Latest snapshot Mar 31, 09:56 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 Stored from a fallback public source because the preferred official path is not consistently crawlable right now.
Tracking depth 2 points Multi-point history is what turns the page from a price card into a change-tracking view.
Cached pricing $0.025 Cached input pricing only appears when the source exposes it clearly.
Batch discount Not listed Batch mode should not be mixed with realtime pricing assumptions.
Input price
$0.100 per 1M tokens
Output price
$0.400 per 1M tokens
Cached input
$0.025 per 1M tokens
Blended price
$0.175 75 / 25 input-output mix

Reference workload

2k input + 1k output, 20% cache hit, 300k requests / month

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Single request estimate $0.0006
Monthly estimate $171.00
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 changes

Compared against the previous recorded snapshot for this model.

Mar 31, 09:56
No delta yet Waiting for another snapshot A price change needs at least two recorded points. This model currently has too little history to show a delta or nothing has changed yet.

Pricing history

Chronological snapshots captured from the active pricing source for this model.

2 points
Open glossary Data sources Export CSV

More points make change detection more trustworthy. Use the source link below if you need to verify the latest point manually.

7d change Awaiting depth Needs 7+ days of stored snapshots.
30d change Awaiting depth Needs 30+ days of stored snapshots.
90d change Awaiting depth Needs 90+ days of stored snapshots.
Tracking span Mar 30, 12:00 -> Mar 31, 09:56 Coverage of the stored snapshot timeline for this model.
Latest detected change No change yet Driven only by stored deltas, not guessed from one point.
History status Trend ready Enough points exist to compare time-separated snapshots.
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 $0.100 $0.400 $0.025 OpenAI
Mar 31, 09:56 $0.100 $0.400 $0.025 PricePerToken OpenAI

Change log

Event timeline generated from stored snapshot deltas for this model.

0 events
No event log yet Waiting for a detected change A change log entry appears only when a newer snapshot differs from the previous stored point.

Source and limits

Source PricePerToken OpenAI PricePerToken OpenAI
Recorded check Checked Mar 31, 09:56
Parser version pricepertoken-payload-v1
Context window 1048576
Output limit 32768
Source note Fallback snapshot from PricePerToken because OpenAI official pricing pages currently return an anti-bot challenge to server-side crawlers. Source updated at 2026-03-28T08:30:28.409703Z.

When this model detail is enough

Use this page when you need a single-model read: current price, context limits, source traceability, and a lightweight history view without opening the full comparison workflow.

When to escalate to compare

If you are choosing between several plausible models, one detail page is not enough. Move to compare so every candidate runs against the same workload assumptions.

When to escalate to calculator

If finance or usage planning matters, use calculator next. That lets you replace the reference workload with your own request volume, cache ratio, and budget ceiling.