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AI price history
gpt-5.6-luna price history
Track OpenAI gpt-5.6-luna AI model pricing history from 2026-07-09 to 2026-08-21, including current input and output token prices, price changes, and inactive status.
Active in current pricing
OpenAI
gpt-5.6-luna
OpenAIProvider
gpt-5.6-lunaModel
$0.2 / 1M tokensCurrent input price
$1.2 / 1M tokensCurrent output price
2026-07-09First recorded
2026-08-21Last recorded
2026-08-21Last price change
2Price changes
Highly VolatilePricing trend
16/100Stability score
-80.00%Change since first record
-80.00%Change over last 30 days
Content quality
History page context
This generated page is intended to answer the pricing question directly while preserving links to the underlying evidence. gpt-5.6-luna has 3 recorded pricing snapshots in the local history dataset.
Data confidence
OpenAI gpt-5.6-luna
Data freshness and methodology
Pricing Review Needed
Freshness values are generated from source check metadata, validation status, and stored pricing history snapshots only.
Latest generated or historical pricing update.
Recorded pricing changes in stored snapshots.
Objective source, validation, and history signals.
Higher means fewer or smaller price changes.
Higher means more pricing movement.
Data sources: provider source, methodology, history, Trust Center.
Provider statistics
OpenAI
0.2Avg changes / model
97.0Avg stability score
1.8%Changed last 30 days
gpt-5.6-lunaMost volatile model
o4-mini-2025-04-16Most stable model
Price chart coming soon
Price chart coming soon
History pages are generated from committed pricing snapshots. A new row appears only when a tracked price changes.
Price intelligence
Largest historical change
Pricing stability score = 100 - frequency penalty - magnitude penalty + history bonus. Frequency penalty is min(45, price changes per 30 tracked days * 18). Magnitude penalty is min(40, average absolute changed-field percentage move / 2). History bonus is min(10, tracked days / 36.5). The final score is clamped from 0 to 100.
-80.00% (Input, 2026-07-31)Largest historical change
Frequently changingCurrent pricing status
Highly VolatileTrend classification
16/100Stability score
47Days since last update
Update frequency
Historical pricing update frequency
3 snapshot(s)Price update frequency
21.5 daysAverage interval
-80.00% (Input, 2026-07-31)Largest historical change
2026-08-21Most recent change
Data freshness and methodology
Executive summary
OpenAI gpt-5.6-luna has 3 history records between 2026-07-09 and 2026-08-21. The latest recorded price change is 2026-08-21, and the current status is Active in current pricing.
- Price changes: 2.
- Current input price: $0.2 / 1M tokens.
- Current output price: $1.2 / 1M tokens.
- Change over last 30 days: -80.00%.
- Pricing trend: Highly Volatile.
- Stability score: 16/100.
- Uses committed pricing snapshots.
- Shows first date, last date, change count, and active/inactive status.
- Only records changes when the tracked snapshot changes.
- Does not include discounts, taxes, or account-specific terms.
FAQ
Price history FAQ
How is this history calculated?
History pages are generated from committed pricing snapshots. A new row appears only when a tracked price changes.
How many price changes does this model have?
gpt-5.6-luna has 2 recorded price changes across 3 snapshots.
History
History
| Date | Input | Output | Cached input | Batch input | Batch output |
|---|---|---|---|---|---|
| 2026-07-09 | $1 | $6 | $0.1 | $0.5 | $3 |
| 2026-07-31 | $0.2 | $1.2 | $0.02 | $0.1 | $0.6 |
| 2026-08-21 | $0.2 | $1.2 | $0.02 | $0.1 | $0.6 |
Contextual insights
gpt-5.6-luna price history data notes
- gpt-5.6-luna has 3 recorded pricing snapshots in the local history dataset.
- The first tracked appearance is 2026-07-09.
- The model remains active in the current snapshot.
Current pricing comes from dist/data/providers.json, provider history files in dist/data/history/, and generated internal page links. The public build was last generated on 2026-10-07.
History pages compare recorded pricing snapshots and classify changes from the local provider history files.
Static build timestamp from the pricing dataset.
For planning purposes is that gpt-5.6-luna price history should be evaluated through the page's linked price, source, history, and related model context. gpt-5.6-luna has 3 recorded pricing snapshots in the local history dataset.
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Pick up where you left off
Public API
Build with AI Pricing Hub data
Use static JSON endpoints for providers, models, rankings, history, market metrics, and changelog events.
Editorial information
Reviewed by AI Pricing Hub Editorial
2026-10-07
Methodology explains collection, validation, limitations, and update cadence.