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GPT-6 Luna

GPT-6 Luna API pricing is $0.10 per million input tokens and $0.50 per million output tokens.

Provider
OpenAI
API model name
gpt-6-luna
Status
Current
Input, $ per 1M tokens
$0.10
Cached input, $ per 1M tokens
$0.01
Output, $ per 1M tokens
$0.50
Sample request (10K in, 2K out), $
$0.002
Context window, tokens
1.05M
Price checked on
Official pricing page
developers.openai.com

These are standard rates on OpenAI’s own API. Cached input is billed at $0.01 per million tokens. A request with 10,000 input tokens and 2,000 output tokens costs about $0.002 before caching or batch discounts. The API model name is gpt-6-luna, and the context window is 1.05M tokens.

Cache writes, $ per 1M tokens
$0.125
Max output, tokens
128K
Input types
Text, image, file
Open weights
No
Long-context pricing
$0.20 input, $0.02 cached input, $0.25 cache writes, $0.75 output
Batch pricing
50% off standard rates
Sources
PageURLChecked
OpenAI API pricinghttps://developers.openai.com/api/docs/pricing2026-10-21
OpenAI GPT-6 Luna model page (prices)https://developers.openai.com/api/docs/models/gpt-6-luna2026-09-30
OpenRouter model listing (context and output limits)https://openrouter.ai/models2026-09-29

Questions

How much does the GPT-6 Luna API cost?
GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens on OpenAI’s own API. Cached input costs $0.01 per million tokens.
What is the API model name for GPT-6 Luna?
Use gpt-6-luna in API calls to OpenAI. The context window is 1.05M tokens, and a response can run to 128,000 output tokens.
What does one GPT-6 Luna request cost?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.002 at standard rates, before caching or batch discounts. Batch requests get 50% off standard rates.
Does GPT-6 Luna cost more for long prompts?
Yes. OpenAI lists long-context rates per million tokens: $0.20 input, $0.02 cached input, $0.25 cache writes, $0.75 output.

Sources

Prices are read from each provider’s official pricing page: OpenAI, Anthropic, Google Gemini API, xAI, DeepSeek and Mistral AI. Context and output limits that a provider does not publish come from OpenRouter’s model listing. Each model’s Sources field lists the pages used and the date each was checked. How we check prices · Price change log

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