AI Agent StoreOpenAI · Public beta API offer
GPT-6 Luna Decisions
Use GPT-6 Luna to answer yes/no questions, choose from named options or score an answer against your rules. Each answer has a confidence score. Chat benchmark results do not tell us how accurate these decisions will be.
Released 2026-10-06 · First reviewed 2026-10-07 · Checked 2026-10-15.
We still need comparable independent tests. You can compare the confirmed features and limits below, but we cannot yet give this version an Agent Fit or Practical Value rating. Test it on records with known answers, including cases that should go to a person.
What you can use today
Token prices measure the small pieces of text the model reads or produces. Capacity is the amount the service accepts in a request; check the limits below for any fallback to another model. A dash means the rate is unverified.
Exact Decisions API model ID: gpt-6-luna. Use POST /v1/decisions with model gpt-6-luna. Input supports text and images. Native context and question-count caps and an effort contract are not verified in the reviewed guide.
This is a public beta API offer, rather than a new base model. The publisher’s speed comparison is not a matched independent latency result.
Gateway lists 1,050,000 context tokens for its route. Its zero max_tokens is typed-output metadata, not proof of zero capacity or a native API limit.
Output: Typed predicates, choices and rubric scores with probabilities and confidence fields. Compare decision models, limits and input costs ↗
Input starts at $0.10 per million tokens. Answers and storing or reusing cached input have no separate charge. Regional processing and long-context input premiums apply: your selected region or a very long request can increase the price. Other GPT-6 Luna APIs have their own rates. Use actual billed usage and the model named in each response to check your estimate.
Provider release and specifications ↗
Check availability and plans ↗
Test it before switching
Give each model the same examples, tools and definition of success. Record correct outcomes, response time, retries and total cost. Check whether confidence scores match the answers you can verify.
Compare caching and long-context costs ↗