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OpenAI pricing

GPT-6 Luna Pricing

GPT-6 Luna is the lowest-priced GPT-6 model, at a twentieth of GPT-6.1 Sol's per-token price, built for high-volume, simple tasks.

Quick answer

GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens. 1,000 typical requests cost about $0.40.

GPT-6 Luna API pricing

Price typeNow (USD per 1M tokens)
Input$0.10
Cached input$0.01
Output$0.50
Batch input$0.05
Batch output$0.25

Short-context prices, for up to 272K input tokens.

What GPT-6 Luna costs in practice

Take a typical request with 2,000 input tokens and 400 output tokens. On GPT-6 Luna:

Cost calculator

Monthly cost, standard–
With your cache share–
On the Batch API–
Per 1,000 requests–
With apicuts: at least 20% less, after our fee–

Uses GPT-6 Luna's standard prices checked October 30, 2026. Cache writes, thinking tokens and long-context tiers aren't included.

How to pay less for GPT-6 Luna

apicuts switches these on for you, routes each request to the lowest-cost route that passes your quality checks, and guarantees at least 20% lower cost after our fee. See pricing.

Compare GPT-6 Luna

See every model side by side in the LLM API pricing comparison, or read Claude Haiku 5.5 vs GPT-6 Luna.

Frequently asked questions

How much does GPT-6 Luna cost?

GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens at standard prices, according to OpenAI's API pricing page (checked October 30, 2026).

How much do 1,000 GPT-6 Luna requests cost?

About $0.40, for requests of 2,000 input and 400 output tokens without caching.

Is there a cheaper way to use GPT-6 Luna?

Yes: caching repeated prompt prefixes, moving work that can wait to the Batch API at half price, capping output length, and sending simpler requests to a cheaper model.

Sources: OpenAI's API pricing page. Checked October 30, 2026.

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