Hilde · Decision models · answer key v2

Chat model

GPT-6 Astra

high reasoning · 16 questions per request

98.0% of the 2,198 questions right (97.3% to 98.5%, 95% interval). Back to the leaderboard.

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-astra
Confidence from
Written estimate
Run
277, 28 October 2026

Settings

Reasoning
high
Request format
16 questions per request
Requests at once
1
Temperature
not recorded
Harness seed
0
Harness commit
0fbd97b0899d
Prompt version
254597b8be16

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

Results

QuestionsAccuracy95% intervalRight
All questions98.0%97.3% to 98.5%2,153 of 2,198
Reading97.1%95.5% to 98.1%637 of 656
Grammar98.3%97.5% to 98.8%1,516 of 1,542

Comparison group: a. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading97.7%128 of 131
Sentence meaningsReading98.7%152 of 154
How a writer explains and develops ideasReading92.9%65 of 70
Topic and main point of a paragraphReading96.9%95 of 98
How a paragraph fits togetherReading95.3%101 of 106
Details that support a paragraph’s main pointReading99.0%96 of 97
Word types, such as nouns and verbsGrammar99.3%139 of 140
Groups of words built around a nounGrammar98.5%64 of 65
Verbs and their formsGrammar100.0%91 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 builtGrammar95.7%66 of 69
The roles of words and phrases in a sentenceGrammar97.9%142 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 topicsGrammar97.3%214 of 220
Sound patterns and changesGrammar98.7%76 of 77
SpellingGrammar99.2%132 of 133
PunctuationGrammar97.4%114 of 117
Problems in sentence wordingGrammar98.3%172 of 175

Confidence

Answers kept at 99% or more
1,793, of which 7 wrong (share right: 99.2% to 99.8%, 95% interval); 405 skipped, the model less than 99% sure
Calibration gap
0.7 points
AUROC, all questions
0.89 0.84 to 0.94
AUROC, reading
0.95 0.93 to 0.97
AUROC, grammar
0.84 0.76 to 0.92
Brier score
0.018
Accuracy of its surest answers
most confident fifth: 100.0% right; most confident half: 99.7% right; most confident four fifths: 99.6% right
Typical score of a right answer
99.0%
Typical score of a wrong answer
96.0%

Repeats

Run 5 times on a sample of 200 questions.

Answers changed in 5 runs
3 of 200
Same wrong answer in all 5
2 of 200
Wrong in at least one run
5 of 200
Accuracy in each run
98.5%, 98.0%, 97.5%, 98.0%, 98.5%

Latency

Latency, median request
21.7 s (this run)
Latency, 90th percentile
49.6 s
Requests at once
1
Throughput
33.6 questions per minute of request time
Request time
65.4 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
$6.07
Whole run
$13.33
Basis
Subscription run priced as if we had used the API
Price
$10 input, $1 cached input, $12.50 cache writes, $50 output per 1M tokens (source, 2026-10-08)
Input tokens per question
529
Output tokens per question
37