Decisions Fast
Model Information
| Slug | decisions-fast |
|---|---|
| LLMs.txt | View |
| Release Date | November 6, 2026 New |
Organization
| Name | Parallel |
|---|
Model Description
Decisions Fast is Parallel's web-grounded Decisions model. Instead of generating text, it reads the content passed as `state` (text or JSON), researches the live web, and returns typed answers to named questions: the probability of yes for a yes/no question (`noul`), a choice with per-option probabilities (`choice`), or a level on an ordered rubric (`score`), with per-question refusals and request-level citations to the sources it used.
It suits fact checks, entity screening, and classification that depend on current information rather than only on what the caller supplies. A request can carry up to 100 questions about the same state, with up to 32,000 tokens per question including the shared state.
It suits fact checks, entity screening, and classification that depend on current information rather than only on what the caller supplies. A request can carry up to 100 questions about the same state, with up to 32,000 tokens per question including the shared state.
Available at 1 Provider
| Provider | Type | Model Name | Original Model | Input ($/1M) | Output ($/1M) | Free | Actions | |
|---|---|---|---|---|---|---|---|---|
|
OpenRouter |
Chat
Code
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Decisions Fast (free)
|
parallel/decisions-fast:free
|
$0.00 | $0.00 |