What this model is built to do
GPT-5.6 Luna is the cost-sensitive text route in the family. It fits classification, extraction, rewrites, and lightweight support queues that do not need image input.
What GPT-5.6 Luna can handle
- Text
- Streaming
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OpenAIPixMind route verified · 2026-09-04
OpenAIPixMind route verified · 2026-09-04Chat with GPT-5.6 Luna
GPT-5.6 Luna is the cost-sensitive text route in the family. It fits classification, extraction, rewrites, and lightweight support queues that do not need image input.
high-volume text, extraction, and lightweight chat
- Context window
- 1,050,000
- Maximum output
- 128,000
- Streaming
- Supported
Selected model
GPT-5.6 Luna
GPT-5.6 Luna
Three jobs to try first
When to choose GPT-5.6 Luna
High-volume extraction
Convert repetitive text or documents into a consistent schema for downstream work.
Prompt starter
Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
Structured professional draft
Create a usable brief, proposal, specification, or report with explicit sections and criteria.
Prompt starter
Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
Chinese–English knowledge work
Reason across Chinese and English source material while preserving terminology and output structure.
Prompt starter
Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
Current PixMind route
This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos.
- Model ID
- gpt-5.6-luna
- Endpoint
- /v1/chat/completions
- PixMind inputs
- Text
Reasoning effort none to max
Current token pricing
Input
147.784
points per 1M tokens
Output
886.704
points per 1M tokens
Choose this model or switch?
Compare the current route with nearby models before spending tokens on a long conversation.
| Model | Best for | PixMind inputs | Max output | Input points / 1M |
|---|---|---|---|---|
| GPT-5.6 LunaCurrent page | high-volume text, extraction, and lightweight chat | Text | 128,000 | 147.784 |
| GPT-5.6 Terra | balanced everyday reasoning and multimodal work | Text · Vision | 128,000 | 1,477.84 |
| Gemini 3.5 Flash-Lite | cost-sensitive classification, extraction, and lightweight multimodal queues | Text · Image input · Video input | 65,536 | 382.2 |
| GLM-5.3-Flash | free daily image understanding, Chinese-first chat, and tool-assisted tasks | Text · Image input | 128,000 | 140 |
From first question to useful answer
- 1Write the task, desired output, and relevant context in the prompt box.
- 2Continue in AI Chat with follow-up questions; the selected model stays active.
- 3Start a new chat when you want a clean context or switch models at any time.
Compare nearby choices
OpenAI
GPT-5.6 Terra
balanced everyday reasoning and multimodal work
Start chattingGoogleGemini 3.5 Flash-Lite
cost-sensitive classification, extraction, and lightweight multimodal queues
Start chattingZhipu AIGLM-5.3-Flash
free daily image understanding, Chinese-first chat, and tool-assisted tasks
Start chattingFacts and sources
Model-family claims come from provider documentation. Inputs, limits, and points are the PixMind route snapshot verified on September 4, 2026.
Frequently asked questions
How do I use GPT-5.6 Luna for “High-volume extraction”?
Convert repetitive text or documents into a consistent schema for downstream work. Start with this template: Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
How do I use GPT-5.6 Luna for “Structured professional draft”?
Create a usable brief, proposal, specification, or report with explicit sections and criteria. Start with this template: Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
How do I use GPT-5.6 Luna for “Chinese–English knowledge work”?
Reason across Chinese and English source material while preserving terminology and output structure. Start with this template: Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
What inputs does GPT-5.6 Luna currently support in PixMind?
This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos. The current catalog flags: text.
How should I prompt GPT-5.6 Luna?
Separate the goal, context, constraints, and output contract. Reserve the highest reasoning effort for tasks where extra latency and cost are justified.
How is GPT-5.6 Luna usage priced?
Current directory pricing is 147.784 input points and 886.704 output points per 1 million tokens.
When should I choose another model over GPT-5.6 Luna?
GPT-5.6 Luna is positioned for high-volume text, extraction, and lightweight chat. Check the comparison table when lower cost, different input support, or a heavier reasoning tier matters more.
What should I do if a GPT-5.6 Luna response stops?
A network interruption, insufficient balance, or temporary model availability can stop a reply. Before resending, check whether token usage and points were already settled.
Start a conversation · GPT-5.6 Luna
Use the prompt box above to send a focused first task, then continue in the full AI Chat workspace.
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