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GPT-5.6 Luna pricing and routing profile

GPT-5.6 Luna from OpenAI lists at $0.20 per million input tokens and $1.20 per million output tokens, with a 1,050,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.20
Output, per 1M tokens$1.20
Cached input, per 1M$0.02
Context window1.05M
Confidence signalNot exposed

Tool callingStructured outputReasoning control

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.132
Chat reply (2,000 in, 400 out)$0.88
Retrieval-augmented answer (8,000 in, 500 out)$2.20

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Not as a first-answer model through OpenRouter: no host returns token log probabilities for GPT-5.6 Luna. It can still be the model Gimbix falls back to when a cheaper model is unsure.

Who serves GPT-5.6 Luna

HostInput / output per 1MLog probabilitiesUptime, last 30 min
OpenAI$0.10 / $0.60no100.0%
Azure$0.20 / $1.20no100.0%
OpenAI$0.20 / $1.20no100.0%
Azure$0.22 / $1.32no100.0%
Amazon Bedrock$0.22 / $1.32no100.0%
Azure$0.22 / $1.32no100.0%
OpenAI$0.40 / $2.40no100.0%

A host that lists log probabilities may still omit them; Gimbix checks each one before relying on it.

Cheaper models that can answer first

Models priced below GPT-5.6 Luna that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
Qwen3.6 Flash$0.188 / $1.136%
Qwen3 Coder Flash$0.195 / $0.97511%
Qwen3 Next 80B A3B Thinking$0.15 / $1.2011%
Qwen3.6 35B A3B$0.15 / $1.0020%
Qwen3 Next 80B A3B Instruct$0.10 / $1.1027%
Llama 4 Maverick$0.188 / $0.65228%

Questions

How much does GPT-5.6 Luna cost?

GPT-5.6 Luna lists at $0.20 per million input tokens and $1.20 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.88 per 1,000 requests.

What is the context window of GPT-5.6 Luna?

1,050,000 tokens.

Can a cheaper model replace GPT-5.6 Luna?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-5.6 Luna on one half of your requests and make at most three answers worse on the other.