GPT-6 Luna (Decisions): Release, Decision Index Score, Performance & Price
Model summary
Compared with other decision models, GPT-6 Luna (Decisions) is among the lowest scoring on the Decision Index and particularly expensive. It's also faster than average. The model supports text and image input.
GPT-6 Luna (Decisions) scores 48 on the Artificial Analysis Decision Index, placing it at the lower end among decision models (median: 53).
At 168 ms per task, GPT-6 Luna (Decisions) is faster than average (median: 188 ms).
Pricing for GPT-6 Luna (Decisions) is $0.10 per 1M input tokens. On average, it costs $79 per 1M tasks to run GPT-6 Luna (Decisions) on the Decision Index (expensive, median: $32).
| Creator | OpenAI |
|---|---|
| Provider | OpenAI |
| Input modality | Supports: text and image |
| Input price | $0.10 per 1M tokens |
Score
Artificial Analysis Decision Index
Weighted average of AA-Omniscience-Decision, HLE-MultiChoice, When2Call and WildGuardTest · Higher is better
Artificial Analysis Decision Index vs. Cost per 1M Tasks
Artificial Analysis Decision Index score vs. average cost per 1 million tasks (USD) · Lower is better
Most attractive quadrant
Pareto line
Calibration
Artificial Analysis Decision Index Calibration
Accuracy against the probability the model gave its chosen answer · Bins of 0.1 with at least 20 answers · Each benchmark weighted equally
Calibration for language models coming soon.
Time
Artificial Analysis Decision Index: Time per Task
Median time per task over every task across all Artificial Analysis Decision Index evaluations · Lower is better
Cost
Artificial Analysis Decision Index: Cost per 1M Tasks
Average cost per 1 million tasks across all Artificial Analysis Decision Index evaluations at current prices (USD) · Lower is better