GPT-5.6 Luna pricing: API and ChatGPT plans
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output, with a 1.05M context window. In ChatGPT, the cheapest plan with it is Plus at $20/mo.
AIGROW credit covers Claude Opus 5.5, Claude Fable 5.2, Claude Fable 5.1, GPT-6 Astra, Claude Sonnet 5.5, GPT-6.1 Sol, GPT-6.1 Terra, Grok 4.7 and Gemini 4 Argon. GPT-6.1 Sol below list price
$25 a month brings $110 of API credit and cancels any time; $25 once buys $100. US dollars per million tokens, standard rate, shortest context band. Plan prices read 22 October 2026. Number 35 of 256 on the Epoch Capabilities Index by Epoch AI, data of 12 November 2026. CC BY 4.0 Newer model: GPT-6 Luna
- 1,000 support replies
- $1.08
- Cached input
- $0.02
- Context window
- 1,050,000 tokens
- Released
- 9 Jul 2026
- Weights
- Closed weights
From OpenAI’s own pages, 12 November 2026.
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens on OpenAI’s own API, and $0.02 for cached input. At those prices 1,000 support replies cost $1.08, the 9th cheapest of 49 priced models on our list.
In ChatGPT: GPT-5.6 Luna is included in Plus ($20/mo), Pro (from $100/mo), Business ($25/mo), Business Premium ($125/mo).
help.openai.com/en/articles/6950777-what-is-chatgpt-plus · Read 22 October 2026. Prices can differ by country and include or exclude tax depending on the country.
AIGROW API credit per million input / output tokens: Claude Opus 5.5 $1.60 / $8.00, Claude Fable 5.2 $3.20 / $16.00, Claude Fable 5.1 $4.00 / $20.00, GPT-6 Astra $2.50 / $12.50, Claude Sonnet 5.5 $0.80 / $4.00, GPT-6.1 Sol $0.50 / $2.50, GPT-6.1 Terra $0.25 / $1.25, Grok 4.7 $0.50 / $1.50 and Gemini 4 Argon $1.00 / $5.00. That is up to 75% below list price. See API credit
What a job costs
Three jobs, 1,000 runs of each, at the list price above, and where each puts GPT-5.6 Luna among the 49 models with a list price.
| Job | 1,000 runs | Among 49 |
|---|---|---|
| Support reply3,000 in, 400 out. | $1.08 | 9th cheapest |
| Document summary25,000 in, 1,000 out. | $6.20 | 9th cheapest |
| Agent task80,000 in (70,000 cached), 3,000 out. | $7.00 | 8th cheapest |
The token counts are ours, chosen to look like real work; the prices are OpenAI’s. All three jobs stay under 100,000 tokens a request, below every long-context surcharge on the list.
GPT-5.6 Luna on real small-business tasks
What the AIGROW benchmark measured when GPT-5.6 Luna was given 20 office tasks, each marked pass or fail by fixed checks.
- Success rate
- 80% of 20 runs passed (95% interval 58 to 92%), 18th of 36 models.
- Cost per 1,000 passes
- $0.677, failed runs included, worked from list price.
- Answer time
- 28 s median, 34 s at the 90th percentile.
- Strongest and weakest
- Appointment scheduling (100% passed) and quotes (50%).
The small print
What the base rate above leaves out, copied from the maker’s pages: surcharges, discounts, promotions and cache pricing.
Nano tier of the 5.6 family. Price cut 80% on 2026-07-30. Requests above 272K input tokens bill 2x input and 1.5x output ($0.40 / $1.80). Cache write $0.25. Batch and Flex 50% off. Data residency adds 10%.
GPT-5.6 Luna against the models it is weighed with
Each comparison puts both list prices side by side and costs the same three jobs on each.
- vs GPT-6 Luna
- OpenAI's new Luna at half the input price of the GPT-5.6 Luna it follows.
- vs Gemini 3.5 Flash-Lite
- Budget models from OpenAI and Google, both aimed at high-volume tasks.
- vs Gemini 3.1 Flash-Lite
- OpenAI's GPT-5.6 nano tier against Google's cheapest Gemini, close on price.
- vs Claude Haiku 4.5
- Anthropic's previous small model costs five times Luna on input, so it has to earn the difference.
- vs GPT-5.4 mini
- The older mini against the newer nano tier, which now costs less than a third as much.
- vs GPT-5.4 nano
- The same input price across a model generation, so the quality change is the whole story.
- vs DeepSeek V4.1 Flash
- Two low-cost APIs for bulk work, with DeepSeek cheaper again off-peak.
- vs Mistral Small 4
- Mistral's open-weight small model against OpenAI's GPT-5.6 nano tier, both near the bottom of the price range.
Other OpenAI models
| Model | Input | Output | Context | 1,000 replies |
|---|---|---|---|---|
| GPT-6 LunaOpenAI | $0.10 | $0.50 | 1.05M | $0.50 |
| GPT-5.4 nanoOpenAINewer model: GPT-6 Luna | $0.20 | $1.25 | 400K | $1.10 |
| GPT-5.4 miniOpenAINewer model: GPT-6.1 Terra | $0.75 | $4.50 | 400K | $4.05 |
| GPT-6.1 TerraOpenAI | $1.00 | $5.00 | 1.05M | $5.00 |
| GPT-6.1 SolOpenAI | $2.00 | $10.00 | 1.05M | $10.00 |
| GPT-6 SolOpenAINewer model: GPT-6.1 Sol | $2.00 | $10.00 | 1.05M | $10.00 |
| GPT-5.6 TerraOpenAINewer model: GPT-6.1 Terra | $2.00 | $12.00 | 1.05M | $10.80 |
| GPT-5.6 SolOpenAINewer model: GPT-6.1 Sol | $4.00 | $20.00 | 1.05M | $20.00 |
| GPT-5.5OpenAINewer model: GPT-6 Astra | $5.00 | $30.00 | 1.05M | $27.00 |
| GPT-6 AstraOpenAI | $10.00 | $50.00 | 1.05M | $50.00 |
Where the price comes from
Read on 12 November 2026. Each price is the standard rate for the shortest context band, with no batch or priority discount; long-context surcharges, batch rates and promotions are in each model’s small print. No price was taken from a reseller.
Compare GPT-5.6 Luna with 53 other models
The price list sets every model’s input and output price side by side, with what a support reply, a document summary and an agent task cost on each.
Prices checked 12 November 2026 · See them by release date