Decision model
GPT-6 Luna
Decisions API, beta · 1 question per request
63.6% of the 2,198 questions right (61.6% to 65.6%, 95% interval). Back to the leaderboard.
How we called it
- Kind
- Decision model
- Access
- OpenAI Decisions API (public beta)
- Paid as
- Provider service
- Model ID
gpt-6-luna- Variant
- Decisions API, beta
- Confidence from
- Option score
- Run
- 143, 8 October 2026
Settings
- Reasoning
- off
- Request format
- 1 question per request
- Requests at once
- 4
- Temperature
- not recorded
- Harness seed
- 0
- Harness commit
- not recorded
- Prompt version
- not recorded
Results
| Questions | Accuracy | 95% interval | Right |
|---|---|---|---|
| All questions | 63.6% | 61.6% to 65.6% | 1,398 of 2,198 |
| Reading | 85.5% | 82.6% to 88.0% | 561 of 656 |
| Grammar | 54.3% | 51.8% to 56.8% | 837 of 1,542 |
Comparison group: rstuv. Compare with another setup.
4 questions got no valid answer; they count as wrong.
Accuracy by topic
Page images (preliminary)
Preliminary: these numbers are not final and may change. This setup is condition A of the Page images tab, which asks the 763 questions with underlined or numbered words as text (A), as a page image (B), as both (C) and through OCR models (D); the share answered right, with its 95% interval.
| Model | A · text onlyaccuracy, higher is better | B · image onlyaccuracy, higher is better | C · text plus imageaccuracy, higher is better | Best OCR routeaccuracy, higher is better |
|---|---|---|---|---|
| GPT-6 Luna (Decisions API)Decisions API, beta · 1 question per request | 55.8%52.3% to 59.3% | 32.6%29.4% to 36.0% | 56.6%53.1% to 60.1% | 50.3%via Surya OCR 246.8% to 53.9% |
Confidence
- Answers kept at 99% or more
- 368, of which 3 wrong (share right: 97.6% to 99.7%, 95% interval); 1,830 skipped: 1,826 with the model less than 99% sure and 4 without a valid answer
- Calibration gap
- 2.4 points
- AUROC, all questions
- 0.82 0.80 to 0.84
- AUROC, reading
- 0.86 0.82 to 0.89
- AUROC, grammar
- 0.77 0.74 to 0.79
- Brier score
- 0.166
- Accuracy of its surest answers
- most confident fifth: 98.6% right; most confident half: 86.6% right; most confident four fifths: 72.8% right
- Typical score of a right answer
- 83.0%
- Typical score of a wrong answer
- 39.5%
Repeats
We did not repeat this setup.
Latency
- Latency, median request
- 0.191 s (this run)
- Latency, 90th percentile
- 0.250 s
- Requests at once
- 4
- Throughput
- 1214.8 questions per minute of request time
- Request time
- 1.8 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
- $0.040
- Whole run
- $0.089
- Basis
- Estimated from published prices and recorded token usage
- Price
- $0.10 input, output free per 1M tokens (source, 2026-10-08)
- Input tokens per question
- 404
- 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 it | Share taken | Accuracy change | Saving |
|---|---|---|---|
| Gemini 3.8 Flashhigh reasoning · 16 questions per request | 15.5% | −0.08 points | 14% |
| GPT-6 Astrahigh reasoning · 16 questions per request | 8.2% | −0.09 points | 8% |
| GPT-6.1 Solhigh reasoning · 16 questions per request | 12.0% | −0.12 points | 10% |
| GPT-6 Astralow reasoning · 16 questions per request | 8.2% | −0.09 points | 7% |
| GPT-6 Astralow reasoning · 1 question per request | 8.1% | −0.09 points | 8% |
| Gemini 3.8 Flashlow reasoning · 1 question per request | 15.5% | −0.08 points | 11% |
| GPT-6.1 Sollow reasoning · 1 question per request | 8.1% | −0.09 points | 7% |
| GPT-6.1 Sollow reasoning · 16 questions per request | 8.2% | −0.09 points | 5% |
| Claude Opus 5.5high reasoning · 16 questions per request | 19.2% | −0.07 points | 19% |
| GPT-6.1 Terrahigh reasoning · 16 questions per request | 17.8% | −0.06 points | 10% |
| Claude Opus 5.5low reasoning · 1 question per request | 21.6% | −0.12 points | 21% |
| Gemini 3.8 Flashlow reasoning · 16 questions per request | 16.7% | −0.12 points | 2% |
| GPT-6.1 Terralow reasoning · 16 questions per request | 20.4% | −0.07 points | 11% |
| Claude Opus 5.5low reasoning · 16 questions per request | 20.9% | −0.10 points | 20% |
| Claude Sonnet 5.5high reasoning · 1 question per request | 26.0% | −0.14 points | 25% |
| Claude Sonnet 5.5high reasoning · 16 questions per request | 34.4% | −0.15 points | 33% |