d1-ultra: Release, Decision Index Score, Performance & Price
Model summary
Compared with other decision models, d1-ultra is amongst the leading models on the Decision Index, but somewhat expensive. It's also notably fast. The model supports text and image input and has a 33k tokens context window.
d1-ultra scores 65 on the Artificial Analysis Decision Index, placing it well above average among decision models (median: 53).
At 93 ms per task, d1-ultra is notably fast (median: 188 ms).
Pricing for d1-ultra is $0.042 per 1M input tokens. On average, it costs $32 per 1M tasks to run d1-ultra on the Decision Index (somewhat expensive, median: $32).
| Creator | Liquid AI |
|---|---|
| Provider | Liquid AI |
| Input modality | Supports: text and image |
| Context window | 33k |
| Input price | $0.042 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