# Mercury Decide

Decision models · checked 2026-10-25 · https://dbggr.dev/models/mercury-decide/

Hosted decision model for classification, scoring and extraction from text and images

Mercury Decide is a closed decision model from Inception: it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. It costs $0.02 per million input tokens (Inception API), and output is free. It scores 73.6 on the independent JevBench Capability Score (board v1.7.46), where Jev, the reference, scores 77.1.

- Made by: Inception
- Weights: Closed
- Size: Undisclosed
- Where: Inception API
- Images: Yes
- Fine-tuning: Not stated
- Docs: https://docs.inceptionlabs.ai/get-started/models

## Mercury Decide price

US dollars per million input tokens. Decision models don't write text, so none of the hosted ones charge for output.

| Where | Input | Output | Notes | Checked |
|---|---|---|---|---|
| Inception API | $0.02 | Free | Output is free. 50% off the regular $0.04 price (no end date given). Uses the v1/decisions endpoint; no chat completions, streaming or tool calling. | [2026-10-25](https://www.inceptionlabs.ai/models) |

## Mercury Decide benchmarks

| Benchmark | Result | What it measures | Reported by |
|---|---|---|---|
| JevBench v1.7.46 | 73.6 | Capability Score: accuracy and calibration on typed decisions, with Jev as the reference system | [Independent](https://benchmarkheaven.com/jev-models) |
| JevBench time | 0.34 s | Seconds per decision: measured end to end for hosted APIs, the board's estimate for self-hosted models | [Independent](https://benchmarkheaven.com/jev-models) |

Makers' speeds are measured on their own hardware and aren't comparable with each other or with JevBench's timings.

## Decision models like Mercury Decide

| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| Mercury Decide | $0.02 | 73.6 | Closed |
| [Mammoth-1](https://dbggr.dev/models/mammoth-1/) | Free | 85.2 | Open |
| [Perplexity Decider V1.2](https://dbggr.dev/models/pplx-decider-v1-2/) | $0.02 | 80.8 | Open |
| [d1-ultra](https://dbggr.dev/models/d1-ultra/) | $0.042 | 80.5 | Closed |
| [Clef](https://dbggr.dev/models/clef/) | $0.24 | 75.3 | Open |
| [Jev 1.14](https://dbggr.dev/models/jev/) | $0.042 | 75.0 | Closed |
| [d1](https://dbggr.dev/models/d1/) | $0.02 | 74.4 | Closed |
| [OpenAI Decisions (GPT-6 Luna)](https://dbggr.dev/models/openai-decisions/) | $0.10 | 73.5 | Closed |
| [Microsoft-Decision-1](https://dbggr.dev/models/microsoft-decision-1/) | $0.042 | 70.8 | Closed |
| [Elephant-1](https://dbggr.dev/models/elephant-1/) | Free | 70.2 | Open |
| [Strands Decider 26B-A4B](https://dbggr.dev/models/strands-decider-26b-a4b/) | Self-host | 66.7 | Open |
| [Clef-flash](https://dbggr.dev/models/clef-flash/) | $0.038 | 63.8 | Open |
| [Perplexity Decider Flash V1.2](https://dbggr.dev/models/pplx-decider-flash-v1-2/) | $0.01 | 61.7 | Open |
| [Clef-omni](https://dbggr.dev/models/clef-omni/) | $0.15 | 58.3 | Open |
| [d1-3B](https://dbggr.dev/models/d1-3b/) | Self-host | 49.5 | Open |
| [d1-omni-600M (experimental)](https://dbggr.dev/models/d1-omni-600m/) | Self-host | 32.8 | Open |
| [Laya](https://dbggr.dev/models/laya/) | Free | 32.5 | Open |
| [CLM-8B](https://dbggr.dev/models/clm-8b/) | Self-host | 20.1 | Open |
| [Clairic](https://dbggr.dev/models/clairic/) | $0.10 | – | Closed |
| [Strands Decider 2B](https://dbggr.dev/models/strands-decider-2b/) | Self-host | – | Open |

## FAQ

### How much does Mercury Decide cost?

Mercury Decide costs $0.02 per million input tokens at Inception API. Output is free. 50% off the regular $0.04 price (no end date given). Uses the v1/decisions endpoint; no chat completions, streaming or tool calling. Checked 25 October 2026.

### Is Mercury Decide open weight?

No. Mercury Decide is only available through Inception API.

### How fast is Mercury Decide?

Inception doesn't publish a latency figure. JevBench gives 0.34 seconds per decision, measured end to end.

### How does Mercury Decide compare with Jev?

On JevBench's Capability Score (board v1.7.46), Mercury Decide scores 73.6 against Jev's 77.1. Jev costs $0.042 per million input tokens; Mercury Decide costs $0.02. JevBench is a one-person project that uses Jev as its reference, which favours cheap hosted models.