Decision model

SubQ Snap Preview

1 question per request

65.2% of the 2,198 questions right (63.2% to 67.2%, 95% interval). Back to the leaderboard.

How we called it

Kind

Decision model

Access

SubQ Decisions API (public preview)

Paid as

Provider service

Model ID

subq-snap-preview

Confidence from

Option score

Run

177, 13 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

Comparison group: qrst. Compare with another setup.

Confidence

Answers kept at 99% or more

0, of which 0 wrong; 2,198 skipped, the model less than 99% sure

Calibration gap

4.9 points

AUROC, all questions

0.82 0.81 to 0.84

AUROC, reading

0.90 0.87 to 0.93

AUROC, grammar

0.76 0.73 to 0.79

Brier score

0.163

Accuracy of its surest answers

most confident fifth: 98.6% right; most confident half: 88.8% right; most confident four fifths: 73.3% right

Typical score of a right answer

85.9%

Typical score of a wrong answer

48.9%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs

9 of 2,198

Same wrong answer in all 5

759 of 2,198

Wrong in at least one run

768 of 2,198

Accuracy in each run

65.2%, 65.2%, 65.2%, 65.2%, 65.3%

Latency

Latency, median request

0.389 s (this run)

Latency, 90th percentile

0.414 s

Requests at once

1

Throughput

150.9 questions per minute of request time

Request time

14.6 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

$0.043

Basis

Estimated from published prices and recorded token usage

Price

$0.05 input, output free per 1M tokens (source, 2026-10-13)

Input tokens per question

388

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.