Hilde · Decision models · answer key v2

Decision model

Inception Mercury Decide

via OpenRouter · 1 question per request

58.3% of the 2,198 questions right (56.2% to 60.3%, 95% interval). Back to the leaderboard.

How we called it

Kind
Decision model
Access
OpenRouter System One API
Paid as
Provider service
Model ID
inception/mercury-decide
Variant
via OpenRouter
Note
Inception's decision model, called through OpenRouter's System One route (paid listing). It returns a probability for each option.
Confidence from
Option score
Run
204, 17 October 2026

Settings

Reasoning
off
Request format
1 question per request
Requests at once
1
Temperature
not recorded
Harness seed
0
Harness commit
95cbecfbd428
Prompt version
254597b8be16

Results

QuestionsAccuracy95% intervalRight
All questions58.3%56.2% to 60.3%1,281 of 2,198
Reading84.5%81.5% to 87.0%554 of 656
Grammar47.1%44.7% to 49.6%727 of 1,542

Comparison group: wxyzA. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading78.6%103 of 131
Sentence meaningsReading89.0%137 of 154
How a writer explains and develops ideasReading74.3%52 of 70
Topic and main point of a paragraphReading93.9%92 of 98
How a paragraph fits togetherReading76.4%81 of 106
Details that support a paragraph’s main pointReading91.8%89 of 97
Word types, such as nouns and verbsGrammar56.4%79 of 140
Groups of words built around a nounGrammar46.2%30 of 65
Verbs and their formsGrammar50.5%46 of 91
Verb forms used like nouns or modifiersGrammar43.1%31 of 72
Word endings and what they doGrammar51.9%41 of 79
How words are builtGrammar31.9%22 of 69
The roles of words and phrases in a sentenceGrammar38.6%56 of 145
How verbs show who acts and who receives the actionGrammar59.5%44 of 74
Types of sentencesGrammar45.9%39 of 85
Questions combining several grammar topicsGrammar34.5%76 of 220
Sound patterns and changesGrammar35.1%27 of 77
SpellingGrammar51.1%68 of 133
PunctuationGrammar50.4%59 of 117
Problems in sentence wordingGrammar62.3%109 of 175

Confidence

Answers kept at 99% or more
451, of which 13 wrong (share right: 95.1% to 98.3%, 95% interval); 1,747 skipped, the model less than 99% sure
Calibration gap
15.5 points
AUROC, all questions
0.81 0.79 to 0.82
AUROC, reading
0.91 0.88 to 0.93
AUROC, grammar
0.72 0.69 to 0.74
Brier score
0.208
Accuracy of its surest answers
most confident fifth: 97.3% right; most confident half: 82.0% right; most confident four fifths: 65.4% right
Typical score of a right answer
96.6%
Typical score of a wrong answer
55.7%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs
191 of 2,198
Same wrong answer in all 5
778 of 2,198
Wrong in at least one run
969 of 2,198
Accuracy in each run
58.3%, 59.1%, 58.6%, 58.9%, 58.8%

Latency

Latency, median request
0.313 s (this run)
Latency, 90th percentile
0.772 s
Requests at once
1
Throughput
140.9 questions per minute of request time
Request time
15.6 minutes, over the requests whose answers were kept

Latency: the time from sending one request to receiving its answer, measured from our computer, network and any retries within the request included. Request time: the time at least one request was in flight, over the requests whose answers were kept. It is not the run's elapsed time: it leaves out requests that failed and any pause before a run was resumed.

Cost

$ per 1,000 questions
$0.008
Whole run
$0.017
Basis
Estimated from published prices and recorded token usage
Price
$0.02 input, output free per 1M tokens (source, 2026-10-17)
Input tokens per question
386
Output tokens per question
1

Going first in front of an LLM

Replay of recorded answers, cutoff chosen on half the questions, averaged over the splits. Savings are estimates from API prices; the Method page explains how.

LLM behind itShare takenAccuracy changeSaving
Gemini 3.8 Flashhigh reasoning · 16 questions per request9.8%−0.10 points9%
GPT-6 Astrahigh reasoning · 16 questions per request9.8%−0.10 points10%
GPT-6.1 Solhigh reasoning · 16 questions per request9.8%−0.10 points9%
GPT-6 Astralow reasoning · 16 questions per request9.9%−0.11 points10%
GPT-6 Astralow reasoning · 1 question per request9.8%−0.10 points10%
Gemini 3.8 Flashlow reasoning · 1 question per request9.8%−0.10 points9%
GPT-6.1 Sollow reasoning · 1 question per request9.8%−0.10 points10%
GPT-6.1 Sollow reasoning · 16 questions per request9.9%−0.11 points9%
Claude Opus 5.5high reasoning · 16 questions per request10.1%−0.11 points10%
GPT-6.1 Terrahigh reasoning · 16 questions per request9.9%−0.11 points8%
Claude Opus 5.5low reasoning · 1 question per request10.2%−0.12 points10%
Gemini 3.8 Flashlow reasoning · 16 questions per request10.0%−0.11 points7%
GPT-6.1 Terralow reasoning · 16 questions per request11.2%−0.14 points9%
Claude Opus 5.5low reasoning · 16 questions per request11.0%−0.14 points11%
Claude Sonnet 5.5high reasoning · 1 question per request18.4%−0.18 points18%
Claude Sonnet 5.5high reasoning · 16 questions per request29.8%−0.30 points30%