Codex · gpt-5.4-mini · 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 | 78.1 pts75.4–80.6 pts |
| Pass rate | 90.1%86.7–93.2%90.1% · 603 of 605 graded |
| Above chance | 88.7%85.1–91.9% |
| Efficiency | 46.543.4–50.1 |
| cost | 0.50× |
| tokens | 0.67× |
| time | 0.89× |
| Coverage | 5/6 |
| Runs | 605 |
66.5 + 6.4 + 2.6 + 2.6 = 78.1 (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)
- 1
- 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
70.2 pts
WindTunnel: 87.8% · 49 of 50 graded · scored
- cost
- 1.0× the typical spend per passing run39.9% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.41 per pass($0.19–$0.75)62% went to the costliest 10% of attempts (5 of 49)
- tokens
- 1.0× the typical spend per passing run41.3% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it2.9M per pass(1.3M–5.3M)65% went to the costliest 10% of attempts (5 of 49)of which 93% cache reads and 7% fresh input
- time
- 1.0× the typical spend per passing run35.4% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it2m 28s per pass(1m 18s–4m 14s)56% went to the costliest 10% of attempts (5 of 49)
benchme — intent tasks
88.1 pts
benchme — intent tasks: 100.0% · 162 of 163 graded · scored
- cost
- 0.45× the typical spend per passing run0.9% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.02 per pass($0.02–$0.02)20% went to the costliest 10% of attempts (17 of 162)
- tokens
- 0.58× the typical spend per passing run0.7% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it66k per pass(61.3k–71.9k)21% went to the costliest 10% of attempts (17 of 162)of which 84% cache reads and 14% fresh input
- time
- 1.0× the typical spend per passing run0.7% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it31.3s per pass(29.7s–32.7s)16% went to the costliest 10% of attempts (17 of 162)
AIME 2025
85.8 pts
AIME 2025: 90.0% · 30 of 30 graded · scored
- cost
- 0.37× the typical spend per passing run6.4% 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–$0.04)28% went to the costliest 10% of attempts (3 of 30)
- tokens
- 0.35× the typical spend per passing run4.1% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it36.5k per pass(23.5k–50.7k)36% went to the costliest 10% of attempts (3 of 30)of which 66% cache reads and 19% fresh input
- time
- 0.63× the typical spend per passing run6.7% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it49.7s per pass(37s–1m 03s)25% went to the costliest 10% of attempts (3 of 30)
GPQA Diamond
64.9 pts
GPQA Diamond: 78.8% · 198 of 198 graded · scored
- cost
- 0.42× the typical spend per passing run47.9% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.02 per pass($0.02–$0.03)44% went to the costliest 10% of attempts (20 of 198)
- tokens
- 0.67× the typical spend per passing run38.2% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it21.2k per pass(17k–27.6k)34% went to the costliest 10% of attempts (20 of 198)of which 53% cache reads and 32% fresh input
- time
- 0.88× the typical spend per passing run37.1% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it35.2s per pass(30.1s–42s)31% went to the costliest 10% of attempts (20 of 198)
HumanEval
81.6 pts
HumanEval: 93.9% · 164 of 164 graded · scored
- cost
- 0.44× the typical spend per passing run9.1% of this setup's cost here went to runs that did not pass or were not graded; efficiency does not price it$0.01 per pass($0.0044–$0.01)22% went to the costliest 10% of attempts (17 of 163)1 attempt's cost was not recorded
- tokens
- 0.97× the typical spend per passing run6.4% of this setup's tokens here went to runs that did not pass or were not graded; efficiency does not price it11.5k per pass(11.1k–12k)11% went to the costliest 10% of attempts (17 of 163)1 attempt's tokens was not recordedof which 58% cache reads and 39% fresh input
- time
- 1.0× the typical spend per passing run7.0% of this setup's time here went to runs that did not pass or were not graded; efficiency does not price it16.4s per pass(15.6s–17.5s)15% went to the costliest 10% of attempts (17 of 164)
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 (164 runs)
- aime-2025-13-harnesses-2026-10 (30 runs)
- benchme-13-harnesses-2026-10 (163 runs)