Hilde · Decision models · answer key v2

Decision model

Drex 2.0

1 question per request

55.7% of the 2,198 questions right (53.6% to 57.8%, 95% interval). Back to the leaderboard.

How we called it

Kind
Decision model
Access
Nace.AI System One API
Paid as
Provider service
Model ID
drex-v2.0
Parameters
35B (3B active per token)
Note
Nace.AI's hosted Drex 2.0 (drex-v2.0, released 6 October 2026), built on Qwen3.6-35B-A3B. It reads text only, so it is not on the Page images tab. Nace's API gives its option probabilities rounded to 4 decimal places, so they sum to 1 only within that rounding; the check before its runs allowed for it.
Confidence from
Option score
Run
334, 31 October 2026

Settings

Reasoning
off
Request format
1 question per request
Requests at once
1
Temperature
not recorded
Harness seed
0
Harness commit
000725f1ff4e
Prompt version
254597b8be16

Results

QuestionsAccuracy95% intervalRight
All questions55.7%53.6% to 57.8%1,225 of 2,198
Reading81.4%78.2% to 84.2%534 of 656
Grammar44.8%42.3% to 47.3%691 of 1,542

Comparison group: zABC. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading73.3%96 of 131
Sentence meaningsReading84.4%130 of 154
How a writer explains and develops ideasReading75.7%53 of 70
Topic and main point of a paragraphReading93.9%92 of 98
How a paragraph fits togetherReading74.5%79 of 106
Details that support a paragraph’s main pointReading86.6%84 of 97
Word types, such as nouns and verbsGrammar48.6%68 of 140
Groups of words built around a nounGrammar40.0%26 of 65
Verbs and their formsGrammar57.1%52 of 91
Verb forms used like nouns or modifiersGrammar48.6%35 of 72
Word endings and what they doGrammar41.8%33 of 79
How words are builtGrammar36.2%25 of 69
The roles of words and phrases in a sentenceGrammar42.1%61 of 145
How verbs show who acts and who receives the actionGrammar60.8%45 of 74
Types of sentencesGrammar42.4%36 of 85
Questions combining several grammar topicsGrammar33.2%73 of 220
Sound patterns and changesGrammar26.0%20 of 77
SpellingGrammar45.1%60 of 133
PunctuationGrammar49.6%58 of 117
Problems in sentence wordingGrammar56.6%99 of 175

Confidence

Answers kept at 99% or more
33, of which 0 wrong (share right: 89.6% to 100.0%, 95% interval); 2,165 skipped, the model less than 99% sure
Calibration gap
4.2 points
AUROC, all questions
0.80 0.79 to 0.82
AUROC, reading
0.88 0.85 to 0.91
AUROC, grammar
0.72 0.69 to 0.75
Brier score
0.179
Accuracy of its surest answers
most confident fifth: 98.0% right; most confident half: 78.5% right; most confident four fifths: 63.0% right
Typical score of a right answer
61.7%
Typical score of a wrong answer
33.5%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs
19 of 2,198
Same wrong answer in all 5
959 of 2,198
Wrong in at least one run
978 of 2,198
Accuracy in each run
55.7%, 55.8%, 55.9%, 55.8%, 55.8%

Latency

Latency, median request
0.325 s (this run)
Latency, 90th percentile
0.395 s
Requests at once
1
Throughput
120.5 questions per minute of request time
Request time
18.2 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
$0.019
Whole run
$0.042
Basis
Estimated from published prices and recorded token usage
Price
$0.06 input, output free per 1M tokens (source, 2026-10-30)
Input tokens per question
319
Output tokens per question
84

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 request14.3%−0.08 points13%
GPT-6 Astrahigh reasoning · 16 questions per request13.4%−0.09 points13%
GPT-6.1 Solhigh reasoning · 16 questions per request13.5%−0.09 points12%
GPT-6 Astralow reasoning · 16 questions per request13.5%−0.09 points13%
GPT-6 Astralow reasoning · 1 question per request13.5%−0.09 points13%
Gemini 3.8 Flashlow reasoning · 1 question per request15.1%−0.13 points13%
GPT-6.1 Sollow reasoning · 1 question per request14.0%−0.13 points14%
GPT-6.1 Sollow reasoning · 16 questions per request13.5%−0.09 points12%
Claude Opus 5.5high reasoning · 16 questions per request13.9%−0.12 points14%
GPT-6.1 Terrahigh reasoning · 16 questions per request13.6%−0.10 points10%
Claude Opus 5.5low reasoning · 1 question per request13.5%−0.09 points13%
Gemini 3.8 Flashlow reasoning · 16 questions per request14.6%−0.11 points8%
GPT-6.1 Terralow reasoning · 16 questions per request15.0%−0.11 points11%
Claude Opus 5.5low reasoning · 16 questions per request16.0%−0.11 points16%
Claude Sonnet 5.5high reasoning · 1 question per request17.4%−0.29 points17%
Claude Sonnet 5.5high reasoning · 16 questions per request24.4%−0.21 points24%