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OGPT-5.6 LunaAPI

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.

1.1MContext window · tokens
$0.2Input price · per M tokens
$1.2Output price · per M tokens
OpenAIProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for GPT-5.6 Luna, measured by Artificial Analysis. Higher is better. Measurement mode: max.

Intelligence index52.3
Coding index71.4
GPQA91.1%
Humanity's Last Exam39.5%
Long Context Reasoning78.3%
SciCode52.5%
τ-Bench Banking31.1%
Terminal-Bench80.9%
⚡ Speed123.3 tokens/sec
⏱ Latency74.49s to first token
💰 Blended price$0.45 / 1M tokens
📈 Value116.2 intelligence points per $
vs. models measured heretop 14%
Scores higher than 86% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.68 per 1M tokens (median of 14) — this one costs $0.45.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch)
Benchmark data by Artificial Analysis

About this model

GPT-5.6 Luna is a commercial AI model by OpenAI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is GPT-5.6 Luna?

GPT-5.6 Luna is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 52.3 on the Artificial Analysis intelligence index.

Is GPT-5.6 Luna free?

GPT-5.6 Luna is not free: it costs $0.2 per million input tokens and $1.2 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5.6 Luna good at?

Independent benchmarks from Artificial Analysis give it GPQA 91.1%, Humanity's Last Exam 39.5%, Long Context Reasoning 78.3%, SciCode 52.5%, τ-Bench Banking 31.1%, Terminal-Bench 80.9%. It is particularly used for code generation.

How fast is GPT-5.6 Luna?

It generates about 123.3 tokens per second, with a median 74.49s delay before the first token. Measured independently by Artificial Analysis.

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