Skip to content
Alpha
  • Models
  • Rankings
  • Ori
Talk to sales

Footer

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Ori
  • Collections
  • Providers
  • Tools
  • Pricing
  • Business
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Customers
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status
  • AI Site Map

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for parallel

Parallel: Decisions Fast (free)

parallel/decisions-fast:free

Compare

Decisions Fast (free) is served by 1 provider.

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.

Modalities
Price
Free
Context
32K
Released
Nov 6, 2026
Compare
PlaygroundProvidersPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. It runs on the OpenRouter Decisions API rather than the OpenAI-compatible chat endpoint, so the request and response shapes below are specific to structured decisions — chat completions SDKs will not work with it.

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with Parallel: Decisions Fast (free) on OpenRouter.

  • Decisions LabLab

Explore more models

Free AI Models on OpenRouterCollectionDecision Model RankingsRanking
Latency
FreeFree0.69s
100.00%
ProviderInput / Output /M
LatencyUptime
  • Favicon for Parallel
    Input Free / Output Free
    Latency 0.69sUptime 100.00%
Latency
0.69s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.86%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.86%

Availability over the last 3 days

Last 72 hours
Availability 99.86%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.86%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

1.
Favicon for https://www.truefoundry.com/
tfy
new
5Ktokens
Rest of OpenRouter
2.43M
Top 5 Apps
5K

Frequently asked questions

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...

The Decisions Fast (free) documentation on OpenRouter includes the interactive Decisions Lab. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Yes. The pricing shown on this page for Decisions Fast (free) is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

Decisions Fast (free) has a 32,000 token context window.

Decisions Fast (free) accepts text as input and returns structured decisions.

Decisions Fast (free) was released on November 6, 2026.

More models from Parallel

Decisions Fast

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.

DecisionsFree
Decisions Fast (free)

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.

DecisionsFree