[KongchangAI]
ModelGPT-6 Luna

gpt-6-luna

A model series from OpenAI that supports a 1M-token context window and is used for a decision-making API.

Core Facts

Timeline (last 90 days)

Oct 17

During migration, you should keep GPT-4o as a fallback while it still exists, and first migrate a small portion of traffic to observe error rates and quality.

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Oct 14

gpt-6-luna reasons at medium effort by default unless reasoning.effort is explicitly set; effort can range from none to max.

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Oct 14

gpt-6-luna does not support fine-tuning; OpenAI has restricted new fine-tuning jobs since May 2026, and existing customers will lose the ability to create fine-tuning jobs on January 6, 2027.

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Oct 14

On Chat Completions, gpt-6-luna's function calling is available only when reasoning effort is none; using built-in tools requires switching to the Responses API.

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Oct 13

The Decisions API currently supports only one model, gpt-6-luna, with no fallback model option.

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Oct 13

One analysis concluded that in short-answer classification scenarios, the cost of the Decisions API is about one-fifth of standard gpt-6-luna pricing.

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Oct 13

The OpenAI Decisions API (gpt-6-luna) was released on October 6, with an input price of $0.10 / 1M tokens, free output, closed source, and an undisclosed context length.

Expired60%
Oct 12

OpenAI launched the Decisions API at DevDay, powered under the hood by a dedicated gpt-6-luna model.

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Oct 11

The author's conclusion: a large number of everyday tasks simply do not require the most expensive model, and Luna matching Opus does not mean it is a drop-in replacement for Opus.

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Oct 8

OpenAI announced that the Decisions API is open for public testing to all developers, powered by GPT-6 Luna and supporting text and image input.

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All Facts (9)

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