Celeris-1 Decision: Release, Decision Index Score, Performance & Price
Model summary
Compared with other decision models, Celeris-1 Decision is below average on the Decision Index, but reasonably priced. It's also notably fast. The model supports text and image input and has a 131k tokens context window.
Celeris-1 Decision scores 52 on the Artificial Analysis Decision Index, placing it below average among decision models (median: 53).
At 63 ms per task, Celeris-1 Decision is notably fast (median: 188 ms).
Pricing for Celeris-1 Decision is $0.04 per 1M input tokens. On average, it costs $32 per 1M tasks to run Celeris-1 Decision on the Decision Index (moderately priced, median: $32).
| Creator | Celeris |
|---|---|
| Provider | Celeris |
| Input modality | Supports: text and image |
| Context window | 131k |
| 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