GPT-5.6 Luna

The cost-sensitive GPT-5.6 variant for high-volume, decomposable production tasks.

Context1.05M

ModalityText · Image

AccessAPI

ReasoningAdaptive

Where it fits.

Best for classification, extraction, routing and subagent work that can be evaluated at scale. Luna is the high-volume member of GPT-5.6, yet retains the family's long context, 128K output, image input, reasoning controls and tool integrations.

Core capabilities

1.05M context with up to 128K output
Image input, function calling and structured outputs
Reasoning levels from none through max
Search, code, shell, computer-use and MCP tools

Best-fit workflows

Classification and structured extraction
Routing and subagents
High-throughput automation

04 / OPERATIONS

From evaluation
to production.

Deployment notes

Use it for extraction, classification, routing, bulk transformation and bounded subagents. Add schema validation, confidence gates and an automatic Terra/Sol fallback for ambiguous or high-impact cases.

Watch before choosing

Efficient models need crisp task boundaries and an escalation path for low-confidence results. A large context window is a capacity limit, not a recommendation to send every document. Retrieval, prompt caching and escalation thresholds usually matter more for throughput.

Family & versions

GPT-5.6 SolFlagship
GPT-5.6 TerraBalanced
GPT-5.6 LunaEfficient

Specifications and positioning checked against provider documentation.