Head to head · prices checked 15 October 2026

GPT-6 Luna vs GPT-5.6 Luna

There is no quality verdict yet: the AIGROW small-business benchmark has not run GPT-6 Luna. On price, GPT-6 Luna costs less: $0.10 in and $0.50 out per million tokens, against $0.20 in and $1.20 out for GPT-5.6 Luna.

US dollars, standard rate, shortest context band. Price only: the benchmark has not run both.

1,000 support replies
2.2×what GPT-5.6 Luna costs next to GPT-6 Luna
GPT-6 Luna
$0.50
GPT-5.6 Luna
$1.08
GPT-6 Luna, per M tokens
$0.10 / $0.50
GPT-5.6 Luna, per M tokens
$0.20 / $1.20

3,000 tokens in and 400 out each, at list price.

OpenAI's new Luna at half the input price of the GPT-5.6 Luna it follows. 1,000 support replies cost $1.08 on GPT-5.6 Luna and $0.50 on GPT-6 Luna, so GPT-5.6 Luna costs 2.2 times as much. GPT-6 Luna was released on 22 Sep 2026, GPT-5.6 Luna was released on 9 Jul 2026.

What each one costs

The API price per million tokens and the cheapest app plan with each model, from the makers’ own pages. Each name opens that model’s full price page.

GPT-6 Luna
On the OpenAI API, GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens. In ChatGPT, it comes with the free plan, and the cheapest paid plan with it is Go at $8/mo. Plan prices read 14 October 2026.
GPT-5.6 Luna
On the OpenAI API, GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens. In ChatGPT, the cheapest plan with it is Plus at $20/mo. Plan prices read 14 October 2026.

Side by side

Each maker’s published rate for its standard tier. Cached input is what a repeated prompt prefix costs once the provider has stored it.

GPT-6 Luna and GPT-5.6 Luna: list prices and specifications
FactGPT-6 LunaGPT-5.6 Luna
MakerOpenAIOpenAI
TierSmall and fastSmall and fast
Input, per M tokens$0.10$0.20
Output, per M tokens$0.50$1.20
Cached input$0.01$0.02
Context window1.05M1.05M
Released22 Sep 20269 Jul 2026
WeightsClosed weightsClosed weights

What a job costs on each

1,000 runs of each job at the two list prices. The gap moves from job to job because the models price input, output and cached context differently.

Cost of 1,000 runs of three jobs on GPT-6 Luna and GPT-5.6 Luna
JobGPT-6 LunaGPT-5.6 LunaCheaper
Support reply3,000 in, 400 out.$0.50$1.08GPT-6 Luna, 54% less
Document summary25,000 in, 1,000 out.$3.00$6.20GPT-6 Luna, 52% less
Agent task80,000 in (70,000 cached), 3,000 out.$3.20$7.00GPT-6 Luna, 54% less

The token counts are ours, chosen to look like real work; the prices are the makers’. A model with no published cache price bills the agent task’s repeated context at its full input rate.

The small print

What each base rate leaves out, from the makers’ own pages: surcharges, discounts, promotions and cache pricing.

GPT-6 Luna
Requests above 272K input tokens bill 2x input and 1.5x output ($0.20 / $0.75, cached $0.02). Cache write $0.125. Batch and Flex 50% off, Fast mode 2x. Data residency adds 10%. OpenAI’s pricing page
GPT-5.6 Luna
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%. OpenAI’s pricing page

Compare GPT-6 Luna and GPT-5.6 Luna with 44 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 15 October 2026