Code with GPT-5.6 Terra
in AdaL
OpenAI's balanced frontier model. GPT-5.6 Terra is the default model in AdaL — strong intelligence at a competitive price point for everyday engineering.
Get StartedRun /model and pick GPT-5.6 Terra · $2.50/M input · $15/M output
Why use GPT-5.6 Terra in AdaL
Key capabilities and pricing
Default model in AdaL
GPT-5.6 Terra is the default model for new AdaL sessions — the recommended starting point for most tasks.
Balances intelligence and cost
Strong reasoning capability at mid-tier pricing — 922K input context.
Everyday engineering
Handles code generation, refactoring, debugging, and review with consistent quality.
Vision support
Analyze screenshots, diagrams, and UI alongside code.
Configurable effort
Reasoning effort from none (fastest) to max (deepest) — adapt to task complexity.
$2.50/M input · $15/M output
Strong price-performance for high-volume workloads.
How to pick GPT-5.6 Terra
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 Terra
"GPT-5.6 Terra balances intelligence and cost for professional workloads."
OpenAI
"Terra is the default model in AdaL — start here and upgrade to Sol only for the hardest tasks."
AdaL
"922K input tokens — enough for large monorepos and long documents."
Context
"Set reasoning effort from none to max to match your speed/quality tradeoff."
Effort
Ready to try GPT-5.6 Terra in AdaL?
Open AdaL CLI or Desktop, run /model, and choose GPT-5.6 Terra.
Get Started with AdaL