Hilde · Decision models · answer key v2

Decision model

Perplexity Decider Flash v1.2

local · 1 question per request

47.8% of the 2,198 questions right (45.7% to 49.9%, 95% interval). Back to the leaderboard.

How we called it

Kind
Decision model
Access
Perplexity Decider server, self-hosted
Paid as
Our own hardware
Model ID
pplx-decider-flash-v1.2
Variant
local
Parameters
4.5B
Hardware
1 × DGX Spark, GB10 (128 GB unified memory); BF16
Note
Perplexity's released Flash checkpoint, based on Qwen3.5-4B, run on our hardware. An API run is pending; this is an additional local setup.
Confidence from
Option score
Run
223, 17 October 2026

Settings

Reasoning
off
Request format
1 question per request
Requests at once
1
Temperature
not recorded
Harness seed
0
Harness commit
f9f71e0fa923
Prompt version
254597b8be16

Results

QuestionsAccuracy95% intervalRight
All questions47.8%45.7% to 49.9%1,050 of 2,198
Reading72.7%69.2% to 76.0%477 of 656
Grammar37.2%34.8% to 39.6%573 of 1,542

Comparison group: DE. Compare with another setup.

Accuracy by topic
TopicPartAccuracyRight
Word and phrase meaningsReading61.8%81 of 131
Sentence meaningsReading79.9%123 of 154
How a writer explains and develops ideasReading70.0%49 of 70
Topic and main point of a paragraphReading86.7%85 of 98
How a paragraph fits togetherReading57.5%61 of 106
Details that support a paragraph’s main pointReading80.4%78 of 97
Word types, such as nouns and verbsGrammar45.0%63 of 140
Groups of words built around a nounGrammar38.5%25 of 65
Verbs and their formsGrammar40.7%37 of 91
Verb forms used like nouns or modifiersGrammar52.8%38 of 72
Word endings and what they doGrammar41.8%33 of 79
How words are builtGrammar26.1%18 of 69
The roles of words and phrases in a sentenceGrammar33.1%48 of 145
How verbs show who acts and who receives the actionGrammar37.8%28 of 74
Types of sentencesGrammar36.5%31 of 85
Questions combining several grammar topicsGrammar27.3%60 of 220
Sound patterns and changesGrammar15.6%12 of 77
SpellingGrammar31.6%42 of 133
PunctuationGrammar39.3%46 of 117
Problems in sentence wordingGrammar52.6%92 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
8.3 points
AUROC, all questions
0.76 0.74 to 0.78
AUROC, reading
0.84 0.81 to 0.87
AUROC, grammar
0.66 0.63 to 0.69
Brier score
0.203
Accuracy of its surest answers
most confident fifth: 88.2% right; most confident half: 65.4% right; most confident four fifths: 53.7% right
Typical score of a right answer
68.9%
Typical score of a wrong answer
41.5%

Repeats

Run 5 times on all questions.

Answers changed in 5 runs
0 of 2,198
Same wrong answer in all 5
1,148 of 2,198
Wrong in at least one run
1,148 of 2,198
Accuracy in each run
47.8%, 47.8%, 47.8%, 47.8%, 47.8%

Latency

Latency, median request
0.132 s (this run)
Latency, 90th percentile
0.187 s
Requests at once
1
Throughput
419.9 questions per minute of request time
Request time
5.2 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
$0.004
Whole run
$0.009
Basis
Estimated at Perplexity's list price for the same model; our hardware cost is not measured.
Price
$0.01 input, output free per 1M tokens, plus 3 billed input tokens per request (source, 2026-10-18)
Input tokens per question
385
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 request7.3%−0.09 points7%§
GPT-6 Astrahigh reasoning · 16 questions per request7.4%−0.10 points7%§
GPT-6.1 Solhigh reasoning · 16 questions per request7.4%−0.10 points7%§
GPT-6 Astralow reasoning · 16 questions per request7.8%−0.14 points8%§
GPT-6 Astralow reasoning · 1 question per request7.3%−0.09 points7%§
Gemini 3.8 Flashlow reasoning · 1 question per request7.3%−0.09 points7%§
GPT-6.1 Sollow reasoning · 1 question per request7.4%−0.10 points7%§
GPT-6.1 Sollow reasoning · 16 questions per request7.8%−0.14 points7%§
Claude Opus 5.5high reasoning · 16 questions per request7.7%−0.13 points8%§
GPT-6.1 Terrahigh reasoning · 16 questions per request7.4%−0.10 points7%§
Claude Opus 5.5low reasoning · 1 question per request7.8%−0.14 points8%§
Gemini 3.8 Flashlow reasoning · 16 questions per request7.7%−0.13 points6%§
GPT-6.1 Terralow reasoning · 16 questions per request7.4%−0.10 points6%§
Claude Opus 5.5low reasoning · 16 questions per request7.8%−0.14 points8%§
Claude Sonnet 5.5high reasoning · 1 question per request8.6%−0.15 points9%§
Claude Sonnet 5.5high reasoning · 16 questions per request11.7%−0.14 points12%§

§ Counts the first model at its maker’s list price for the same model; our hardware cost is not measured.