GPT-5.6 Luna

gpt-5.6-luna

GPT-5.6 Luna is the general-purpose version of the Luna series, suitable for everyday AI applications. It can be used for chat Q&A, text rewriting, summarization, information extraction, simple reasoning, coding assistance, and office automation. Luna is a practical choice for prototypes, lightweight business features, batch content processing, and common user interaction scenarios. It is a good starting model when speed, simplicity, and cost control are important, while Luna Pro can be considered for tasks that require higher-quality or more stable outputs.

Total Context

1.1Mtokens

Max Output

128Ktokens

Released

Jul 9, 2026

Modalities

GPT-5.6 Luna Price

Token TierInput PriceOutput PriceCache ReadCache Create 5m
<=272K$1/M$6/M$0.1/M$1.25/M
>272K$2/M$9/M$0.2/M$2.5/M

GPT-5.6 Luna API

openaiPOST /v1/chat/completions

GPT-5.6 Luna Benchmark

33.3

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

44.2

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

Knowledge & Reasoning

GPQA

Advanced science problem solving

83.5%

HLE

Broad expert-level exam set

18.8%

Coding & Engineering

SciCode

Scientific coding challenges

45.6%

Instruction Following & Agent Tasks

AA-LCR

Long-context reasoning

59.3%

Metrics sourced from Artificial Analysis

GPT-5.6 Luna FAQs

Common questions about using GPT-5.6 Luna on TokenHub.

What is GPT-5.6 Luna?+

GPT-5.6 Luna is a GPT-5.6 Luna-series model exposed through TokenHub. It is intended for users who need a general AI model for chat, reasoning, writing and API-based workflows.

What is GPT-5.6 Luna best for?+

It is suitable for conversational assistants, content drafting, summarization, structured data extraction, code help and multi-step task automation.

What are the strengths of GPT-5.6 Luna?+

Its strengths are general-purpose task coverage, clear instruction following and flexible integration through TokenHub. The standard version is generally a practical choice for everyday usage, quick iteration and cost-conscious workloads.

What limitations or tradeoffs should I consider with GPT-5.6 Luna?+

As with any AI model, review important outputs for accuracy, test prompts with your own data and compare latency, cost and quality against alternatives before production use.

How do I use GPT-5.6 Luna through the TokenHub API?+

Select "GPT-5.6 Luna" as the model in your TokenHub request, use your account endpoint and credentials, and set parameters such as temperature, max tokens and streaming according to your application needs.

How should I choose between GPT-5.6 Luna and related GPT-5.6 models?+

Start with a small evaluation set that reflects your real tasks. Choose the model that gives the best balance of answer quality, reliability, latency and cost for your workload.