# Mercury Decide Inception · Proprietary · bench-align-v5 > Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed. Page: https://modelscale.dev/models/mercury-decide JSON: https://modelscale.dev/api/model/mercury-decide ## Facts | Field | Value | Evidence | | --- | --- | --- | | Canonical id | `mercury-decide` | — | | Overall score | Unavailable | Unavailable · source benchlm:models | | Context window | Unavailable | Unavailable · source benchlm:models | | Release date | Unavailable | Unavailable · source benchlm:models | | Access type | Proprietary | — | | Blended $/1M (75% input / 25% output) | $0.03 | Derived from the input and output rates below | ## Capability evidence Seven axes from the ranking source. An axis the source did not score is unavailable, not zero. | Axis | Score | Evidence | | --- | --- | --- | | Agentic | Unavailable | Unavailable · source benchlm:models | | Coding | Unavailable | Unavailable · source benchlm:models | | Knowledge | Unavailable | Unavailable · source benchlm:models | | Reasoning | Unavailable | Unavailable · source benchlm:models | | Multimodal & Grounded | Unavailable | Unavailable · source benchlm:models | | Instruction Following | Unavailable | Unavailable · source benchlm:models | | Math | Unavailable | Unavailable · source benchlm:models | ## Runtime service evidence Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim. Regional or per-endpoint measurements appear only when the API supplies them; none are modelled. | Measurement | Value | Observed | Last good | Evidence | | --- | --- | --- | --- | --- | | Time to first token | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | | Throughput | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | ## Endpoint and price matrix Every published price component, including cache reads and writes. | Component | USD | Evidence | | --- | --- | --- | | Input / 1M tokens | $0.04 | Observed 2026-10-23 · source benchlm:pricing | | Output / 1M tokens | $0.00 | Observed 2026-10-23 · source benchlm:pricing | | Cache read / 1M tokens | $0.00 | Observed 2026-10-23 · source benchlm:pricing | | Cache write / 1M tokens | Unavailable | Unavailable · source openrouter:pricing | | Blended / 1M (75% input / 25% output) | $0.03 | Derived — from the input and output rates above; it has no source record of its own | | Cost per successful task (LiveBench) | Unavailable | Fetch failed · source livebench:table | **Self-hosted listing.** Inception lists Mercury Decide at a regular $0.04 per million input tokens, currently discounted 50% to $0.02. Output tokens are reported but not charged, and the cached-input price is $0. The list price is recorded here; the discount is temporary. The rates above are a hosted price matched from another provider, not a first-party list price. ## Workload-aware monthly cost example 10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. Derived here from the published rates above by this site's own calculator — not a figure any source published. | Field | Value | | --- | --- | | Modelled monthly cost | $0.0845 | | Modelled tokens | 2.82M | ## Benchmark record 6 matched benchmark rows with their published value, unit, and provenance. ### external | Benchmark | Value | Tasks | Difficulty | Provenance | | --- | --- | --- | --- | --- | | Artificial Analysis Decision Index | 52.7 | — | Weighted average of four decision-model evaluations | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision accuracy | 35.0 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision non-hallucination rate | 32.0 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | HLE-MultiChoice (Decision Index) | 10.1 | — | Expert-level multiple choice | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | When2Call (Decision Index) | 79.3 | — | Tool-use decisions | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | WildGuardTest (Decision Index) | 88.0 | — | Safety classification | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | ## Lifecycle and limitations log Lifecycle events the source associates with this model. No lifecycle event references this model. That is not evidence the model has no lifecycle plan — only that this source published none. ## What this profile does not claim Values are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned. Last attempted fetch for this model's score: 2026-10-23 13:17 UTC.