DeepAgents + GPT-5.6 Terra

GPT-5.6 Terra is currently selectable with DeepAgents on AgentSky. DeepAgents controls the work loop and tools; the model supplies reasoning and generation. Start a real task below with both choices already selected.

Review option pricing before running.

Runs started with multiple options stay blind until you vote.

How the combination works

DeepAgents runs the work. GPT-5.6 Terra powers each turn.

Runs the task through its ACP harness in a persistent cloud workspace while the selected AgentSky model supplies reasoning and generation.

AgentSky supplies the persistent cloud computer, task state, usage records, and enabled tools or connectors around that combination.

  • DeepAgents

    Owns the agent loop, repository or computer operations, tool calls, and how results are returned.

  • GPT-5.6 Terra

    OpenAI's model supplies the reasoning and generated output within DeepAgents's supported interface.

  • AgentSky

    Keeps the selected pair, workspace, task state, access configuration, and itemized usage together.

Current GPT-5.6 Terra facts

What the model is

The middle GPT-5.6 tier, trading some capability for a lower price.

Context window

1.1M tokens in the current AgentSky catalog.

Accepted input

Text, Image in the current AgentSky catalog.

Model token price

$2 / $12 per 1M input / output tokens on the displayed AgentSky plan. Runtime and paid tool usage are separate.

Evaluate it on real work

Start with one bounded task and evidence you can inspect.

Choose one of the platform-verified models, provide a bounded task and add only the project or tools the work needs.

01

Open the preselected Composer

The Composer above starts with DeepAgents and GPT-5.6 Terra. Add the repository or project and only the tools the task needs.

02

Adapt this first task

Inspect the workspace, complete one bounded change or analysis, and return the result with evidence that can be checked.

03

Verify the outcome

Inspect the actual output or diff and reproduce the important check; a successful ACP session alone does not establish task correctness.

Fit and limits

When to choose DeepAgents + GPT-5.6 Terra

Tasks supported by this ACP harness through AgentSky's verified platform-model path.

This page establishes

  • The pair is selectable in the current AgentSky compatibility matrix
  • The launch carries both selections into the shared Composer
  • Current catalog facts are shown when the gateway publishes them

You still need to measure

  • Quality on your own repository or workflow
  • End-to-end task time, recovery effort, and human review
  • Total task cost, which also depends on runtime, tools, connectors, and token usage

Common questions

Run a real task with DeepAgents + GPT-5.6 Terra.

Run DeepAgents + GPT-5.6 Terra