How to use Parallel Decisions on OpenRouter (parallel/decisions-fast)

Parallel’s parallel/decisions-fast model is available through OpenRouter’s alpha Decisions API as a web-grounded decision service that can answer up to 100 typed questions from a shared retrieval, returning probabilities for yes/no questions, option probabilities for choices, or positions on scoring rubrics along with request-level sources. It uses the POST /api/alpha/decisions endpoint rather than OpenAI-compatible chat completions, accepts text-only state and questions, has a listed p50 latency of 0.60 seconds, and was free for a seven-day launch trial as of November 6, 2026, though post-trial OpenRouter pricing was unspecified. Responses may include refusals, which should be handled separately from negative answers, and citations should be stored with answers because sources apply across the entire request. The model is positioned for agent guardrails and checks involving current external facts, such as product support or software maintenance status, while less expensive state-only decision models may be preferable when all evidence is already supplied in the prompt. Developers can access it through OpenRouter’s TypeScript or Python SDKs or direct HTTP, should calibrate action thresholds against their own cases, and can call Parallel directly instead when they need EU routing, source controls, higher rate limits, or Parallel’s broader research APIs.

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