SubQ Snap 1.1: Release, Decision Index Score, Performance & Price
Model summary
Compared with other decision models, SubQ Snap 1.1 is amongst the leading models on the Decision Index and reasonably priced. It's also slower than average. The model supports text and image input and has a 393k tokens context window.
SubQ Snap 1.1 scores 65 on the Artificial Analysis Decision Index, placing it well above average among decision models (median: 53).
At 190 ms per task, SubQ Snap 1.1 is slower than average (median: 188 ms).
Pricing for SubQ Snap 1.1 is $0.04 per 1M input tokens. On average, it costs $30 per 1M tasks to run SubQ Snap 1.1 on the Decision Index (moderately priced, median: $32).
| Creator | Subquadratic |
|---|---|
| Provider | Subquadratic |
| Input modality | Supports: text and image |
| Context window | 393k |
| Input price | $0.04 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