Inception Mercury Decide
Inception's decision model: yes/no probabilities, categorical choices and ordinal scores over text, JSON and images
Mercury Decide is Inception's decision model. It evaluates named questions against a shared state and returns typed answers with probabilities: a yes/no probability, a categorical choice or an ordinal score. Input can be text, JSON or images, sent to POST /v1/decisions.
Input tokens cost $0.02 per 1M during a 50% discount on the regular $0.04. Output is not charged. OpenRouter also lists a free variant.
Pricing: Per token usage
Inception Mercury Decide prices by model
Per 1M tokens, read off Inception Mercury Decide's own pricing page on the date shown.
| Model | Input / 1M | Cached / 1M | Output / 1M | Checked | Notes |
|---|---|---|---|---|---|
| Mercury Decide | $0.02 | โ | $0.00 | 15 Oct 2026 | 50% promotion, list $0.04. Output not charged. |
Inception Mercury Decide Alternatives
Explore 147 products in the Inference APIs category. View all Inception Mercury Decide alternatives.
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Open decision models from 0.8B to 27B, built on Qwen and compatible with TypeSafe's Jev API.
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Open-source multilingual decision model: typed choices, scores and yes/no answers in one forward pass.
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Open-weight decision models from AWS's Strands project: pick between options or rate on a scale, with a confidence
Mapika Decider
Open-weight decision models fine-tuned from Qwen3.5: choices, scores and yes/no probabilities from one forward pass
Respan Span-01
Behavior scoring model: the probability that each plain-language behavior you define is present in a conversation
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