Decision model
Drex 2.0
1 question per request
55.7% of the 2,198 questions right (53.6% to 57.8%, 95% interval). Back to the leaderboard.
How we called it
- Kind
- Decision model
- Access
- Nace.AI System One API
- Paid as
- Provider service
- Model ID
drex-v2.0- Parameters
- 35B (3B active per token)
- Note
- Nace.AI's hosted Drex 2.0 (drex-v2.0, released 6 October 2026), built on Qwen3.6-35B-A3B. It reads text only, so it is not on the Page images tab. Nace's API gives its option probabilities rounded to 4 decimal places, so they sum to 1 only within that rounding; the check before its runs allowed for it.
- Confidence from
- Option score
- Run
- 334, 31 October 2026
Settings
- Reasoning
- off
- Request format
- 1 question per request
- Requests at once
- 1
- Temperature
- not recorded
- Harness seed
- 0
- Harness commit
000725f1ff4e- Prompt version
254597b8be16
Results
| Questions | Accuracy | 95% interval | Right |
|---|---|---|---|
| All questions | 55.7% | 53.6% to 57.8% | 1,225 of 2,198 |
| Reading | 81.4% | 78.2% to 84.2% | 534 of 656 |
| Grammar | 44.8% | 42.3% to 47.3% | 691 of 1,542 |
Comparison group: zABC. Compare with another setup.
Accuracy by topic
Confidence
- Answers kept at 99% or more
- 33, of which 0 wrong (share right: 89.6% to 100.0%, 95% interval); 2,165 skipped, the model less than 99% sure
- Calibration gap
- 4.2 points
- AUROC, all questions
- 0.80 0.79 to 0.82
- AUROC, reading
- 0.88 0.85 to 0.91
- AUROC, grammar
- 0.72 0.69 to 0.75
- Brier score
- 0.179
- Accuracy of its surest answers
- most confident fifth: 98.0% right; most confident half: 78.5% right; most confident four fifths: 63.0% right
- Typical score of a right answer
- 61.7%
- Typical score of a wrong answer
- 33.5%
Repeats
Run 5 times on all questions.
- Answers changed in 5 runs
- 19 of 2,198
- Same wrong answer in all 5
- 959 of 2,198
- Wrong in at least one run
- 978 of 2,198
- Accuracy in each run
- 55.7%, 55.8%, 55.9%, 55.8%, 55.8%
Latency
- Latency, median request
- 0.325 s (this run)
- Latency, 90th percentile
- 0.395 s
- Requests at once
- 1
- Throughput
- 120.5 questions per minute of request time
- Request time
- 18.2 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
- $0.019
- Whole run
- $0.042
- Basis
- Estimated from published prices and recorded token usage
- Price
- $0.06 input, output free per 1M tokens (source, 2026-10-30)
- Input tokens per question
- 319
- Output tokens per question
- 84
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 | 14.3% | −0.08 points | 13% |
| GPT-6 Astrahigh reasoning · 16 questions per request | 13.4% | −0.09 points | 13% |
| GPT-6.1 Solhigh reasoning · 16 questions per request | 13.5% | −0.09 points | 12% |
| GPT-6 Astralow reasoning · 16 questions per request | 13.5% | −0.09 points | 13% |
| GPT-6 Astralow reasoning · 1 question per request | 13.5% | −0.09 points | 13% |
| Gemini 3.8 Flashlow reasoning · 1 question per request | 15.1% | −0.13 points | 13% |
| GPT-6.1 Sollow reasoning · 1 question per request | 14.0% | −0.13 points | 14% |
| GPT-6.1 Sollow reasoning · 16 questions per request | 13.5% | −0.09 points | 12% |
| Claude Opus 5.5high reasoning · 16 questions per request | 13.9% | −0.12 points | 14% |
| GPT-6.1 Terrahigh reasoning · 16 questions per request | 13.6% | −0.10 points | 10% |
| Claude Opus 5.5low reasoning · 1 question per request | 13.5% | −0.09 points | 13% |
| Gemini 3.8 Flashlow reasoning · 16 questions per request | 14.6% | −0.11 points | 8% |
| GPT-6.1 Terralow reasoning · 16 questions per request | 15.0% | −0.11 points | 11% |
| Claude Opus 5.5low reasoning · 16 questions per request | 16.0% | −0.11 points | 16% |
| Claude Sonnet 5.5high reasoning · 1 question per request | 17.4% | −0.29 points | 17% |
| Claude Sonnet 5.5high reasoning · 16 questions per request | 24.4% | −0.21 points | 24% |