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GPT-5.6 Luna — Specs, Pricing & Limits

Specs

StatusPriced
Released (API changelog)2026-07-09
Context window1,050,000 tokens
Max output128,000 tokens
Knowledge cutoffFeb 16, 2026
Reasoning effort levelsnone, low, medium (default), high, xhigh, max
Long-context rule>272,000 input tokens: 2x input, 1.5x output (full request)
Cache writesBilled at the cache-write rate instead of the input rate
ChatGPT credit rate (per 1M)5 in · 0.5 cached · 30 out

Pricing per 1M tokens, every published service tier

Standard — short contextin $0.20 · cached $0.02 · writes $0.25 · out $1.20
Standard — long contextin $0.40 · cached $0.04 · writes $0.50 · out $1.80
Batch — short contextin $0.10 · cached $0.01 · writes $0.125 · out $0.60
Batch — long contextin $0.20 · cached $0.02 · writes $0.25 · out $0.90
Flex — short contextin $0.10 · cached $0.01 · writes $0.125 · out $0.60
Flex — long contextin $0.20 · cached $0.02 · writes $0.25 · out $0.90
Fast — short contextin $0.40 · cached $0.04 · writes $0.50 · out $2.40
Fast — long contextin $0.80 · cached $0.08 · writes $1.00 · out $3.60
Cache writes, 12-hour lifetime$0.50 Standard short · $1.00 long — 2.5× the tier's input rate, instead of 1.25× for the default 30-minute lifetime (Responses API)

Rate limits by usage tier

FreeNot supported
Build5,000 RPM · 2,000,000 TPM · 20,000,000 batch queue
Launch10,000 RPM · 10,000,000 TPM · 1,000,000,000 batch queue
Grow30,000 RPM · 180,000,000 TPM · 15,000,000,000 batch queue

GPT-5.6 Luna is the cheapest model in the GPT-5.6 family, and the detail worth knowing before assuming "cheapest" means "most restricted" is that Luna sits in a different rate-limit group from Sol and Terra — one whose top-tier request and token ceilings and batch queues are higher, not lower.

That group is now shared with GPT-6 Luna, its successor, and the comparison between the two is unusually one-sided: GPT-6 Luna undercuts GPT-5.6 Luna on every published price cell, on the same context window and the same rate-limit table, with a newer knowledge cutoff. In Codex with ChatGPT sign-in, GPT-6 Luna is also the model OpenAI names for the Free and Go plans. GPT-5.6 Luna remains available during the GPT-6 rollout, and keeping it is reasonable for a high-volume pipeline you've already validated, where a model switch means re-running evaluations you'd rather not repeat.

Luna is built for volume — bulk classification, extraction, transformation, short structured outputs — where the rate-limit ceiling is more likely to bind than the per-token price. It is a poor fit for work that specifically needs Sol-class reasoning on a hard, multi-step task. Its effort levels span none to max, with medium as the default.

The long-context rule applies to Luna as it does to the rest of the family: crossing the threshold reprices the full request, not just the portion above the line.

The table above is computed directly from this site's facts module: pricing across every published service tier, the long-context bands, and Luna's own rate-limit table.

Verified 2026-10-28 against https://developers.openai.com/api/docs/models/gpt-5.6-luna.

Checked: https://developers.openai.com/api/docs/models/gpt-5.6-luna · https://developers.openai.com/api/docs/pricing