Hilde · Decision models · answer key v2

Chat model

Qwen3.8-27B

yes/no scoring · 1 question per request

51.9% of the 2,198 questions right (49.8% to 54.0%, 95% interval). Back to the leaderboard.

How we called it

Kind
Chat model
Access
vLLM, self-hosted, BF16
Paid as
Our own hardware
Model ID
qwen38-27b-bf16
Variant
yes/no scoring
Parameters
27.8B
Hardware
1 × RTX PRO 6000 Blackwell (96 GB); BF16
Note
Open-Jev's base model
Confidence from
Option score
Run
50, 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 questions51.9%49.8% to 54.0%1,141 of 2,198
Reading80.5%77.3% to 83.3%528 of 656
Grammar39.8%37.3% to 42.2%613 of 1,542

Comparison group: CD. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading69.5%91 of 131
Sentence meaningsReading87.7%135 of 154
How a writer explains and develops ideasReading72.9%51 of 70
Topic and main point of a paragraphReading90.8%89 of 98
How a paragraph fits togetherReading74.5%79 of 106
Details that support a paragraph’s main pointReading85.6%83 of 97
Word types, such as nouns and verbsGrammar42.1%59 of 140
Groups of words built around a nounGrammar29.2%19 of 65
Verbs and their formsGrammar45.1%41 of 91
Verb forms used like nouns or modifiersGrammar37.5%27 of 72
Word endings and what they doGrammar36.7%29 of 79
How words are builtGrammar30.4%21 of 69
The roles of words and phrases in a sentenceGrammar37.9%55 of 145
How verbs show who acts and who receives the actionGrammar44.6%33 of 74
Types of sentencesGrammar31.8%27 of 85
Questions combining several grammar topicsGrammar30.0%66 of 220
Sound patterns and changesGrammar32.5%25 of 77
SpellingGrammar46.6%62 of 133
PunctuationGrammar40.2%47 of 117
Problems in sentence wordingGrammar58.3%102 of 175

Confidence

Answers kept at 99% or more
289, of which 2 wrong (share right: 97.5% to 99.8%, 95% interval); 1,909 skipped, the model less than 99% sure
Calibration gap
8.9 points
AUROC, all questions
0.80 0.78 to 0.82
AUROC, reading
0.91 0.89 to 0.93
AUROC, grammar
0.69 0.66 to 0.72
Brier score
0.184
Accuracy of its surest answers
most confident fifth: 95.7% right; most confident half: 74.9% right; most confident four fifths: 58.5% right
Typical score of a right answer
84.2%
Typical score of a wrong answer
40.8%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs
160 of 2,198
Same wrong answer in all 5
949 of 2,198
Wrong in at least one run
1,109 of 2,198
Accuracy in each run
51.9%, 51.7%, 51.6%, 51.4%, 51.6%

Latency

Latency, median request
0.280 s (its repeated runs)
Latency, 90th percentile
0.410 s
Requests at once
1
Throughput
193.2 questions per minute of request time
Request time
11.4 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
$0.70
Whole run
$1.55
Basis
Estimated at Alibaba's list price for the same model; our hardware cost is not measured.
Price
$0.50 input, $0.10 cached input, $3 output per 1M tokens (source, 2026-10-18)
Input tokens per question
1,377
Output tokens per question
5