OpenAI says GPT-5.6 Sol sets a new high on its coding-agent measurements while using fewer tokens and less time than major competing frontier models. The release also introduces an ultra setting for harder multi-agent workflows, plus stronger computer-use and design-judgment behavior for polished output.
This matters because teams building coding agents care about cost per merged task, not just raw model IQ. If OpenAI's claims hold up in real repos, GPT-5.6 gives builders a better menu for matching model strength to task complexity without overpaying on every turn.
Use Sol for complex debugging, architectural work, and long-horizon refactors where failure is expensive. Use Terra or Luna for broader automation layers like triage, code search, verification, and repetitive engineering tasks where throughput and cost control matter more.
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