GPT-5.6 - A new standard for intelligence and efficiency
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GPT-5.6 is rolling out in the API!
Our new family of models gives builders three options: Sol (our flagship model for the hardest agentic tasks), Terra (balanced for everyday workflows), and Luna (fast and cost-efficient). GPT-5.6 also introduces Programmatic Tool Calling, Multi-agent (beta) for parallel execution, and explicit prompt caching.
On July 23, we're teaming up with Product Hunt for OpenAI Day. The top five launches will each receive $10K in API credits.
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OpenAI
Early feedback has been really exciting!! GPT-5.6 is setting a new bar for performance while also reducing token usage and latency, particularly in coding, complex agentic workflows, and tool-heavy tasks.
Product Hunt
Is the solar system naming convention around to stay? Or just for the 5.6 release?
Kilo Code
two months ago, @sama posted on X:
nailed it 👏👏
TapRefer
GPT is backk
the docs are genuinely well organized, and getting a working prototype running over the weekend was way faster than i expected.
The API docs are genuinely some of the cleanest I've read, with code samples that actually work on the first try. Really impressive that a tool this complex still feels approachable.
Curious how the pricing scales for smaller teams just starting out with API access, especially compared to self-hosting open-weight models.
The “more smarts per token” positioning is interesting. In practice, where have you seen the biggest efficiency gains—long reasoning tasks, coding, or everyday chat?
Programmatic Tool Calling plus explicit prompt caching is the real headline here for anyone running agentic workflows at volume. That's a meaningful cost and latency lever, not just a spec bump. Curious how Sol/Terra/Luna routing works in practice: automatic based on task complexity, or manual per-call?
@andre_ajemian Great follow-on question, considering the way the tiers in the family are typically built out, it is more probable to assume it is going to be manual per-call (Sol / Terra / Luna is chosen by you explicitly in your API call), rather than automatic, because automatic routing based on request complexity adds its own latency factor that defeats the explicit caching, predictable cost selling point. But this is just a hypothesis based on the architecture pattern, it would be good to ask them directly whether automatic routing is planned or not, because in that case the whole cost optimization strategy changes.
How does it compare to Fable 5?