OpenAI allows GPT-5.6 Sol to delegate routine tasks to cheaper Luna agents
OpenAI is updating Codex with cross-model delegation. Principal models like GPT-5.6 Sol can now assign simpler coding tasks to the faster and more cost-effective GPT-5.6 Luna.
What happened?
OpenAI has launched a new feature for cross-model delegation within its Multi Agents v2 system for Codex. The update enables a primary model, such as GPT-5.6 Sol, to delegate defined subtasks to faster and cheaper models like GPT-5.6 Luna. OpenAI describes Luna as the fastest and most cost-effective model in the GPT-5.6 family.
Key facts
| Lanseringsdatum | 15 augusti 2026 |
|---|---|
| Funktion | Tvärmodellsdelegation i Multi Agents v2 |
| Huvudmodell | GPT-5.6 Sol |
| Underagent | GPT-5.6 Luna |
Why it matters
By introducing a clear model hierarchy, more expensive reasoning models can focus on overarching orchestration and problem-solving, while routine coding tasks are offloaded. This provides direct control over both latency and token costs during resource-intensive agent operations, making large-scale automated code generation more economically sustainable.
Who is affected?
The update primarily affects software developers, AI engineers, and companies using OpenAI Codex and agent-based coding tools in their development workflows. Developers building complex agents now have better control over their API costs and response times.
Impact on the EU
The feature is available globally via OpenAI's API and the Codex platform, meaning that Swedish and European developers can immediately utilise this new delegation structure.
What else you should know
Eric Provencher, who announced the news, recently joined OpenAI's developer relations team after previously building Repo Prompt, a macOS tool for codebase context and agent coordination.
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