Multimodal reasoning, coding and document analysis
TextImage inputVideo inputAudio inputPDF input
Google’s reasoning model for software engineering, mathematics and long documents. Combine text, images, video, audio and PDFs in the shared multimodal playground.
Text and JSON classification, routing and moderation
TextJSON
ScaleDown’s structured decision model returns choices, ordered scores and yes/no probabilities for routing, moderation, intent detection and domain tagging.
Capability notes: 1,000,000-token provider context · platform: 8 questions, 32 KiB text · text and JSON; no image or PDF input
Platform price
720 credits / 1M input tokens
Upstream now $0.04 / 1M; credits use the undiscounted $0.05 / 1M list price.
A rolling Perplexity model alias that currently routes to Decider V1.1. Its target and upstream price can change; text, JSON and image inputs are supported.
Capability notes: Currently 262,144-token context · up to 4 images · 4 MiB each · 8 MiB total · 16 MP each
Platform price
300 credits / 1M input tokens
Upstream input / 1M tokens: Currently $0.02 (Decider V1.1 target) · Site input / 1M tokens: $0.03
The explicit free OpenRouter route for Inception’s Mercury Decide. It returns choices, scores and yes-or-no judgments with probabilities. Upstream inference is free; this service charges 1 credit per successful call.
Capability notes: 65,536-token provider context; up to 8 questions; text and JSON
Microsoft’s Qwen3.5-9B-based decision model returns a calibrated probability for fixed answers in one pass. Use it for classification, routing, prioritization and agent guardrails.
Capability notes: 32,768-token provider context; up to 8 questions; text and JSON
Nace.AI’s compact decision model has fewer than 10B parameters and a 131,072-token provider context. Route, classify and check policies with typed answers and probabilities.
Capability notes: 131,072-token provider context; up to 8 questions; text and JSON
Nace.AI’s 35B mixture-of-experts decision model with 3B active parameters. Score typed answers in one pass for routing, classification and policy checks.
Capability notes: 131,072-token context · text and JSON · no image input
Cloudflare’s mixture-of-experts decision model is based on Qwen3-Omni-30B-A3B, with 30B total and 3B active parameters. Classify, route and score text, JSON or images with typed answers.
Capability notes: 65,536-token provider context; up to 8 questions; images supported
Minimum 1 credit per successful request. Decision models bill input; multimodal chat models bill input and output.
Compare decision model prices
Checked 2026-10-15. Prices use the provider route called by this service. Promotional rates may change. These decision models have free output. Successful calls round up to at least 1 credit ($0.0001), including models with $0 token rates. The site USD rate below is before per-request rounding.
Compare decision model prices · USD per million input tokens