Hilde · Decision models · answer key v2

Decision model

Open-Jev 27B v1.1

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
Open-Jev server, self-hosted
Paid as
Our own hardware
Model ID
open-jev-27b-v1.1
Parameters
27.8B
Hardware
1 × RTX PRO 6000 Blackwell (96 GB); BF16
Note
Fine-tune of Qwen3.8-27B (LoRA and a scoring head)
Confidence from
Option score
Run
45, 4 October 2026

Settings

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

Results

QuestionsAccuracy95% intervalRight
All questions55.7%53.6% to 57.8%1,224 of 2,198
Reading82.9%79.9% to 85.6%544 of 656
Grammar44.1%41.6% to 46.6%680 of 1,542

Comparison group: ABC. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading77.1%101 of 131
Sentence meaningsReading85.1%131 of 154
How a writer explains and develops ideasReading71.4%50 of 70
Topic and main point of a paragraphReading93.9%92 of 98
How a paragraph fits togetherReading75.5%80 of 106
Details that support a paragraph’s main pointReading92.8%90 of 97
Word types, such as nouns and verbsGrammar50.7%71 of 140
Groups of words built around a nounGrammar52.3%34 of 65
Verbs and their formsGrammar57.1%52 of 91
Verb forms used like nouns or modifiersGrammar45.8%33 of 72
Word endings and what they doGrammar59.5%47 of 79
How words are builtGrammar27.5%19 of 69
The roles of words and phrases in a sentenceGrammar40.0%58 of 145
How verbs show who acts and who receives the actionGrammar54.1%40 of 74
Types of sentencesGrammar41.2%35 of 85
Questions combining several grammar topicsGrammar18.2%40 of 220
Sound patterns and changesGrammar23.4%18 of 77
SpellingGrammar51.9%69 of 133
PunctuationGrammar47.0%55 of 117
Problems in sentence wordingGrammar62.3%109 of 175

Confidence

Answers kept at 99% or more
0, of which 0 wrong; 2,198 skipped, the model less than 99% sure
Calibration gap
24.5 points
AUROC, all questions
0.82 0.81 to 0.84
AUROC, reading
0.89 0.86 to 0.92
AUROC, grammar
0.75 0.72 to 0.77
Brier score
0.265
Accuracy of its surest answers
most confident fifth: 97.3% right; most confident half: 80.0% right; most confident four fifths: 64.0% right
Typical score of a right answer
33.2%
Typical score of a wrong answer
24.2%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs
0 of 2,198
Same wrong answer in all 5
974 of 2,198
Wrong in at least one run
974 of 2,198
Accuracy in each run
55.7%, 55.7%, 55.7%, 55.7%, 55.7%

Latency

Latency, median request
0.386 s (its repeated runs)
Latency, 90th percentile
0.573 s
Requests at once
1
Throughput
153.4 questions per minute of request time
Request time
14.4 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
Not measured
Basis
No dollar estimate; see hardware and time
Input tokens per question
1,377
Output tokens per question
0

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 request13.2%−0.08 points13%†
GPT-6 Astrahigh reasoning · 16 questions per request12.4%−0.09 points12%†
GPT-6.1 Solhigh reasoning · 16 questions per request12.4%−0.09 points12%†
GPT-6 Astralow reasoning · 16 questions per request12.4%−0.09 points12%†
GPT-6 Astralow reasoning · 1 question per request12.4%−0.09 points12%†
Gemini 3.8 Flashlow reasoning · 1 question per request15.2%−0.13 points15%†
GPT-6.1 Sollow reasoning · 1 question per request13.5%−0.12 points14%†
GPT-6.1 Sollow reasoning · 16 questions per request12.4%−0.09 points12%†
Claude Opus 5.5high reasoning · 16 questions per request12.7%−0.11 points13%†
GPT-6.1 Terrahigh reasoning · 16 questions per request12.4%−0.09 points12%†
Claude Opus 5.5low reasoning · 1 question per request14.0%−0.16 points14%†
Gemini 3.8 Flashlow reasoning · 16 questions per request14.7%−0.12 points15%†
GPT-6.1 Terralow reasoning · 16 questions per request14.6%−0.17 points15%†
Claude Opus 5.5low reasoning · 16 questions per request13.5%−0.15 points13%†
Claude Sonnet 5.5high reasoning · 1 question per request18.1%−0.21 points18%†
Claude Sonnet 5.5high reasoning · 16 questions per request27.3%−0.15 points27%†

† Leaves out the first model’s hardware cost, which we have not estimated.