Code with GPT-5.6 Luna
in AdaL
OpenAI's cost-optimized frontier model. Use gpt-5.6-luna in AdaL for high-volume workloads where cost efficiency is the priority.
Get StartedRun /model and pick GPT-5.6 Luna · $1/M input · $6/M output
Why use GPT-5.6 Luna in AdaL
Key capabilities and pricing
Cost-sensitive workloads
The most affordable GPT-5.6 variant — ideal for high-volume tasks where cost is the primary constraint.
Frontier reasoning
Full GPT-5.6 architecture at a fraction of Sol pricing.
High-volume coding
Run many concurrent tasks without burning through credits.
Vision support
Analyze images and screenshots in your workflow.
Configurable effort
From none to max reasoning effort for speed/quality tradeoffs.
$1/M input · $6/M output
The most affordable GPT-5.6 variant.
How to pick GPT-5.6 Luna
Available in AdaL CLI and Desktop through the model selector
Open AdaL CLI or AdaL Desktop
Use the coding environment where AdaL already understands your repo, tools, and task context.
Run /model
Open the model selector and choose your model from the list.
Start your task
Ask AdaL to inspect, plan, edit, test, and review with your chosen model powering the agent loop.
What to know
Key details about GPT-5.6 Luna
"GPT-5.6 Luna is optimized for cost-sensitive, high-volume professional workloads."
OpenAI
"Use Luna for batch operations, subagent tasks, and high-throughput workflows."
AdaL
"922K input tokens — same large context as Terra and Sol."
Context
"At $1/M input and $6/M output, Luna is the budget choice in the GPT-5.6 family."
Pricing
Ready to try GPT-5.6 Luna in AdaL?
Open AdaL CLI or Desktop, run /model, and choose GPT-5.6 Luna.
Get Started with AdaL