Hilde · Decision models · answer key v2

Chat model

GPT-6.1 Sol

low reasoning · 1 question per request

96.7% of the 2,198 questions right (95.9% to 97.4%, 95% interval). Back to the leaderboard.

We also ran this setup at 16 questions per request: GPT-6.1 Sol · low reasoning · 16 questions per request.

Which decision model can go first in front of it? See the Routing tab.

How we called it

Kind
Chat model
Access
Codex CLI, ChatGPT subscription
Paid as
Subscription
Model ID
gpt-6.1-sol
Confidence from
Written estimate
Run
190, 13 October 2026

Settings

Reasoning
low
Request format
1 question per request
Requests at once
1
Temperature
not recorded
Harness seed
0
Harness commit
54043fd92cd5
Prompt version
254597b8be16

Reasoning effort levels (OpenAI's model page, read 28 October 2026): low, medium (default), high, xhigh, max. Top level: max. This run: low.

Results

QuestionsAccuracy95% intervalRight
All questions96.7%95.9% to 97.4%2,126 of 2,198
Reading96.0%94.3% to 97.3%630 of 656
Grammar97.0%96.0% to 97.8%1,496 of 1,542

Comparison group: bcd. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading96.9%127 of 131
Sentence meaningsReading97.4%150 of 154
How a writer explains and develops ideasReading91.4%64 of 70
Topic and main point of a paragraphReading95.9%94 of 98
How a paragraph fits togetherReading93.4%99 of 106
Details that support a paragraph’s main pointReading99.0%96 of 97
Word types, such as nouns and verbsGrammar97.9%137 of 140
Groups of words built around a nounGrammar98.5%64 of 65
Verbs and their formsGrammar97.8%89 of 91
Verb forms used like nouns or modifiersGrammar98.6%71 of 72
Word endings and what they doGrammar98.7%78 of 79
How words are builtGrammar94.2%65 of 69
The roles of words and phrases in a sentenceGrammar97.2%141 of 145
How verbs show who acts and who receives the actionGrammar98.6%73 of 74
Types of sentencesGrammar98.8%84 of 85
Questions combining several grammar topicsGrammar95.0%209 of 220
Sound patterns and changesGrammar93.5%72 of 77
SpellingGrammar98.5%131 of 133
PunctuationGrammar94.0%110 of 117
Problems in sentence wordingGrammar98.3%172 of 175

Confidence

Answers kept at 99% or more
1,741, of which 14 wrong (share right: 98.7% to 99.5%, 95% interval); 457 skipped, the model less than 99% sure
Calibration gap
1.8 points
AUROC, all questions
0.86 0.81 to 0.90
AUROC, reading
0.94 0.89 to 0.97
AUROC, grammar
0.81 0.75 to 0.88
Brier score
0.029
Accuracy of its surest answers
most confident fifth: 99.8% right; most confident half: 99.3% right; most confident four fifths: 99.1% right
Typical score of a right answer
99.0%
Typical score of a wrong answer
97.0%

Repeats

We did not repeat this setup.

Latency

Latency, median request
6.61 s (this run)
Latency, 90th percentile
9.83 s
Requests at once
1
Throughput
8.1 questions per minute of request time
Request time
271.2 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
$5.57
Whole run
$12.24
Basis
Subscription run priced as if we had used the API
Price
$2 input, $0.10 cached input, $2.50 cache writes, $10 output per 1M tokens (source, 2026-10-08)
Input tokens per question
4,642
Output tokens per question
73