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gpt-5.6-luna

Model IDgpt-5.6-luna

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Model introduction

GPT-5.6 Luna is the efficient GPT-5.6 tier for cost-sensitive, high-volume workloads while retaining long context, reasoning controls, and agent tools.

Model capabilities

Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.

OpenAI compatibleResponses APIAnthropic compatibleGemini compatibleImage generationVisionPrompt cacheReasoning

Verified specifications

Official positioning
Cost-sensitive, high-volume workloads
Context window
1,050,000 tokens
Maximum output
128,000 tokens
Knowledge cutoff
2026-02-16
Input / output
Text, image / Text

Sources: OpenAI GPT-5.6 Luna model documentation

Model pricing and access

Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.

Your final charge follows the account group shown in the console.
Live pricing source

Pricing table

USD / 1M tokens
Standardx1defaultInput $0.2 · Output $1.2
standard

Length ≤ 272K

Input
$0.2/ 1M
Output
$1.2/ 1M
Cache read
$0.02/ 1M
Cache write
$0.25/ 1M
Image input
-
Image output
-
long_context
Input
$0.4/ 1M
Output
$1.8/ 1M
Cache read
$0.04/ 1M
Cache write
$0.5/ 1M
Image input
$8/ 1M
Image output
$30/ 1M
Discountx0.8discountInput $0.16 · Output $0.96
standard

Length ≤ 272K

Input
$0.16/ 1M
Output
$0.96/ 1M
Cache read
$0.016/ 1M
Cache write
$0.2/ 1M
Image input
-
Image output
-
long_context
Input
$0.32/ 1M
Output
$1.44/ 1M
Cache read
$0.032/ 1M
Cache write
$0.4/ 1M
Image input
$6.4/ 1M
Image output
$24/ 1M
Relayx0.3relayInput $0.06 · Output $0.36
standard

Length ≤ 272K

Input
$0.06/ 1M
Output
$0.36/ 1M
Cache read
$0.006/ 1M
Cache write
$0.075/ 1M
Image input
-
Image output
-
long_context
Input
$0.12/ 1M
Output
$0.54/ 1M
Cache read
$0.012/ 1M
Cache write
$0.15/ 1M
Image input
$2.4/ 1M
Image output
$9/ 1M
Temporary (availability may vary)x0.1tempInput $0.02 · Output $0.12
standard

Length ≤ 272K

Input
$0.02/ 1M
Output
$0.12/ 1M
Cache read
$0.002/ 1M
Cache write
$0.025/ 1M
Image input
-
Image output
-
long_context
Input
$0.04/ 1M
Output
$0.18/ 1M
Cache read
$0.004/ 1M
Cache write
$0.05/ 1M
Image input
$0.8/ 1M
Image output
$3/ 1M

Access protocols

Available billing groups: Standard, Discount, Relay, Temporary (availability may vary)

openai
POST
/v1/chat/completions
openai-response
POST
/v1/responses
anthropic
POST
/v1/messages
gemini
POST
/v1beta/models/{model}:generateContent
image-generation
POST
/v1/images/generations
openai-response-compact
POST
/v1/responses/compact
openai-alpha-search
POST
/v1/alpha/search

Complete model guide

Prepared from vendor sources and independently reviewed. · 2026-07-28

GPT-5.6 Luna is positioned as the most cost-efficient model in OpenAI’s GPT-5.6 model family; the same series also includes the flagship Sol and the balanced Terra for everyday work, both now generally available. [6]

Model Positioning and Core Capabilities

GPT-5.6 Luna is the cost-efficiency tier of the GPT-5.6 family, designed for workloads that require efficient processing at scale. [6]

The GPT-5.6 family supports Programmatic Tool Calling, enabling lightweight programs to be written and run in the Responses API to coordinate tool calls and process intermediate results, reducing round trips between the model and tools. [6]

Capabilities and Specifications

OpenAI positions Luna as the most cost-efficient model in the GPT-5.6 family, forming a tiered lineup alongside Sol’s flagship positioning and Terra’s balanced positioning for everyday work. [6]

Third-party materials list Luna as supporting multiple reasoning-effort levels, as well as workflow capabilities including function calling, web search, file search, computer use, and persistent reasoning. [2]

Use Cases

Luna is designed for high-volume text-processing tasks such as summarization, rewriting, classification, information extraction, routing, and lightweight analysis. [2]

Its applicable use cases also include user-facing assistants, routine automation, workflow support, initial issue triage, code review drafts, test case generation, and document analysis. [2]

Important Limitations

Luna is the cost-efficiency tier of the GPT-5.6 family; materials classify difficult cases as suitable for escalation to Terra or Sol. [2]

Higher reasoning effort, Pro mode, multi-agent workflows, and long-context processing increase latency and cost. [2]

Sources

[2] B.AI GPT-5.6 Luna 模型指南 [6] GPT-5.6: Frontier intelligence that scales with your ambition

Code examples

These examples use MoleAPI's Responses API endpoint and run after you replace the API key.

curl https://api.moleapi.com/v1/responses \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-luna",
    "input": "Explain this problem step by step."
  }'

More related models

More OpenAI models

OpenAI

gpt-5.6-sol

$5 / 1M tokens / $30 / 1M tokens

OpenAI

gpt-5.6-terra

$2 / 1M tokens / $12 / 1M tokens

OpenAI

gpt-5.5

$5 / 1M tokens / $30 / 1M tokens

Frequently asked questions

How is gpt-5.6-luna priced?

This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.

How can I access gpt-5.6-luna?

Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.

How do I switch an existing project to gpt-5.6-luna?

Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.

Where do the gpt-5.6-luna model details come from?

Capabilities and limitations are checked against OpenAI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.