GPT-5.6 Sol just raised the

GPT-5.6 Sol just raised the bar for agentic coding.

OpenAI’s new flagship model achieved 88.8% on TerminalBench 2.1 a benchmark focused on real terminal tasks requiring planning, iteration, and tool coordination.

But the score is not the most interesting part.

What caught our attention at LuvionSoftware is how the model is designed to work:

→ Deeper reasoning for complex problems → Multi-agent execution with Ultra mode → Stronger performance across coding and computer-use workflows → Better support for long-running tasks where one prompt is not enough

For software teams like ours, this could reshape the daily workflow.

Less time guiding every small step.

More time defining requirements, reviewing decisions, testing results, and delivering real value.

AI coding is moving beyond:

“Generate this function.”

And moving toward:

Understand the goal → Inspect the project → Plan → Execute → Verify.

GPT-5.6 Sol is now gradually rolling out across eligible ChatGPT plans, Codex, and the OpenAI API.

The question we want to explore is:

Can it accelerate software delivery without reducing engineering judgment?

What would you test first with GPT-5.6 Sol?