Codex · gpt-6.1-sol · harness default
openai
harness default, open-book on knowledge questionsIts score and figures
Every figure the leaderboard's table prints for this setup.
| rank in group | 1–3 |
|---|---|
| Score | 79.4 pts78.2–80.6 pts |
| Pass rate | 97.2%95.9–98.4%97.2% · 603 of 605 graded |
| Above chance | 96.9%95.5–98.2% |
| Efficiency | 26.724.3–29.7 |
| cost | 1.9× |
| tokens | 1.0× |
| time | 1.4× |
| Coverage | 5/6 |
| Runs | 604 |
72.7 + 2.0 + 2.6 + 2.1 = 79.4 (outcome + cost + tokens + time)
- pass rate on each benchmark's own grader
- cost
- tokens
- time
- not measured
- First run
- 2026-10-02
- Last run
- 2026-10-03
- did not finish (scored as a fail)
- 2
- Tasks with no grade
- 2
On each benchmark
Each benchmark it ran: its status, pass rate, spend and spend per pass. The studies behind them are its evidence, below.
WindTunnel
75.0 pts
WindTunnel: 98.0% · 50 of 50 graded · scored
- cost
- 2.3× the typical spend per passing run4.6% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.17 per pass($0.14–$0.21)22% went to the costliest 10% of attempts (5 of 50)
- tokens
- 2.1× the typical spend per passing run5.0% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it730.8k per pass(574k–915.4k)26% went to the costliest 10% of attempts (5 of 50)of which 95% cache reads and 4% fresh input
- time
- 3.4× the typical spend per passing run3.8% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it3m 00s per pass(2m 27s–3m 38s)22% went to the costliest 10% of attempts (5 of 50)
benchme — intent tasks
73.2 pts
benchme — intent tasks: 94.4% · 162 of 163 graded · scored
- cost
- 3.1× the typical spend per passing run7.8% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it (1 such run's cost was not recorded)$0.14 per pass($0.12–$0.15)22% went to the costliest 10% of attempts (16 of 160)2 attempts' cost were not recorded
- tokens
- 2.9× the typical spend per passing run8.5% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it (1 such run's tokens was not recorded)492.9k per pass(425.9k–562.2k)25% went to the costliest 10% of attempts (16 of 160)2 attempts' tokens were not recordedof which 93% cache reads and 6% fresh input
- time
- 3.8× the typical spend per passing run8.2% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it2m 24s per pass(2m 07s–2m 40s)22% went to the costliest 10% of attempts (17 of 162)
AIME 2025
94.8 pts
AIME 2025: 100.0% · 30 of 30 graded · scored
- cost
- 0.53× the typical spend per passing run0.0% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.03 per pass($0.03–$0.04)17% went to the costliest 10% of attempts (3 of 30)
- tokens
- 0.25× the typical spend per passing run0.0% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it13.6k per pass(12.4k–15.8k)18% went to the costliest 10% of attempts (3 of 30)of which 6% cache reads and 88% fresh input
- time
- 0.45× the typical spend per passing run0.0% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it29.6s per pass(24.1s–36.7s)25% went to the costliest 10% of attempts (3 of 30)
GPQA Diamond
77.1 pts
GPQA Diamond: 96.0% · 198 of 198 graded · scored
- cost
- 1.6× the typical spend per passing run7.9% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.03 per pass($0.03–$0.04)19% went to the costliest 10% of attempts (20 of 197)1 attempt's cost was not recorded
- tokens
- 0.72× the typical spend per passing run11.7% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it17.4k per pass(15.6k–20k)22% went to the costliest 10% of attempts (20 of 197)1 attempt's tokens was not recordedof which 6% cache reads and 94% fresh input
- time
- 0.93× the typical spend per passing run8.2% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it23.9s per pass(21.9s–26.4s)21% went to the costliest 10% of attempts (20 of 198)
HumanEval
76.6 pts
HumanEval: 97.5% · 163 of 164 graded · scored
- cost
- 4.5× the typical spend per passing run2.6% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.03 per pass($0.02–$0.03)11% went to the costliest 10% of attempts (17 of 162)1 attempt's cost was not recorded
- tokens
- 1.1× the typical spend per passing run2.5% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it12.3k per pass(12k–12.7k)11% went to the costliest 10% of attempts (17 of 162)1 attempt's tokens was not recordedof which 0% cache reads and 99% fresh input
- time
- 1.0× the typical spend per passing run2.8% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it17.3s per pass(16.7s–18s)14% went to the costliest 10% of attempts (17 of 163)
Efficiency and spend per pass can order setups differently: efficiency compares the typical (median) passing run, task by task, while spend per pass averages every attempt, so a few very expensive runs, passing or not, count in full; and spend per pass also counts the attempts that failed or did not finish, and divides by the pass rate. A setup is called the most frugal only where both put it first and both separate it from every other setup.
Evidence
Every published study its runs come from.
- windtunnel-13-harnesses-2026-10 (50 runs)
- gpqa-diamond-13-harnesses-2026-10 (198 runs)
- humaneval-13-harnesses-2026-10 (163 runs)
- aime-2025-13-harnesses-2026-10 (30 runs)
- benchme-13-harnesses-2026-10 (163 runs)