POST /v1/chat/completionsGPT-5.6 Luna
gpt-5.6-lunaGPT-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 Tier | Input Price | Output Price | Cache Read | Cache 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
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.