Codex GPT-5.5
replicate 1
passUDT-only
Answer
-7.4953918036950576e-02Workflow
Galaxy UDTscikit-learnstatsmodelsgeneralized linear modellogistic regression
- Total tokens
- 2.61M
- Output
- 20.5K
New token-optimization experiment
Three additional GPT-5.6 Sol Galaxy replicates are available separately. Previous results remain unchanged.
Question
In a simple logistic regression model assessing age and camrelizumab treatment response, what is the coefficient estimate (change in log-odds) for age?
Comparison
Pass counts and token totals across the same three replicates.
| Agent | Galaxy-API code | Open-ended code |
|---|---|---|
| Codex GPT-5.5 | 3/3 replicate 1 replicate 2 replicate 3 4.83M total | 3/3 replicate 1 replicate 2 replicate 3 593.3K total |
| Codex GPT-5.6 Sol | 3/3 replicate 1 replicate 2 replicate 3 8.17M total | 3/3 replicate 1 replicate 2 replicate 3 737.7K total |
| Codex GPT-5.6 Luna | 3/3 replicate 1 replicate 2 replicate 3 29.03M total | 3/3 replicate 1 replicate 2 replicate 3 1.29M total |
| DeepSeek V4 Pro via Codex | 3/3 replicate 1 replicate 2 replicate 3 16.80M total | 3/3 replicate 1 replicate 2 replicate 3 1.28M total |
| DeepSeek V4 Pro via Claude Codesuperseded | 2/3 replicate 1 replicate 2 replicate 3 9.14M total | 3/3 replicate 1 replicate 2 replicate 3 1.68M total |
Execution condition
Galaxy-API code with skills
Codex GPT-5.5
3 primary replicatesCodex GPT-5.5
replicate 2
passUDT-only
Answer
-0.0749539180369506Workflow
Galaxy UDTstatsmodelslogistic regressiongeneralized linear model
- Total tokens
- 1.59M
- Output
- 5.8K
Codex GPT-5.5
replicate 3
passUDT + standard tools
Answer
-0.0749539180369506Workflow
Excel to tabularGalaxy UDTscikit-learnlogistic regressiongeneralized linear model
- Total tokens
- 629.7K
- Output
- 7.7K
Codex GPT-5.6 Sol
3 primary replicatesCodex GPT-5.6 Sol
replicate 1
pass
Answer
-0.0749537657284774Workflow
Excel to tabularMatch rowsRegexcolumn1Sklearn Generalized LinearSklearn Estimator Attributes
- Total tokens
- 2.53M
- Output
- 13.5K
Codex GPT-5.6 Sol
replicate 2
passUDT + standard tools
Answer
-0.074953918036950576Workflow
Excel to tabularGalaxy UDTgeneralized linear modellogistic regression
- Total tokens
- 917.7K
- Output
- 6.6K
Codex GPT-5.6 Sol
replicate 3
pass
Answer
-0.0749537657284774Workflow
Excel to tabularSelect columnsMatch rowsmore stepsSklearn Estimator Attributeslogistic regression
- Total tokens
- 4.73M
- Output
- 16.5K
Codex GPT-5.6 Luna
3 primary replicatesCodex GPT-5.6 Luna
replicate 1
pass
Answer
-0.074953765728477395Workflow
Excel to tabularFilter TabularSklearn Generalized LinearReplace column valuesscikit-learn
- Total tokens
- 9.29M
- Output
- 34.8K
Codex GPT-5.6 Luna
replicate 2
pass
Answer
-0.0749537657284774Workflow
Excel to tabularSelect columnsFilter Tabularmore stepsSciPyscikit-learn
- Total tokens
- 8.40M
- Output
- 26.6K
Codex GPT-5.6 Luna
replicate 3
passUDT + standard tools
Answer
-0.0749539180369506Workflow
Excel to tabularFilter TabularMatch rowsmore stepsgeneralized linear modellogistic regression
- Total tokens
- 11.34M
- Output
- 39.3K
DeepSeek V4 Pro via Codex
3 primary replicatesDeepSeek V4 Pro via Codex
replicate 1
passUDT + standard tools
Answer
-0.07495391804Workflow
Excel to tabularGalaxy UDTgeneralized linear modellogistic regression
- Total tokens
- 1.87M
- Output
- 11.6K
DeepSeek V4 Pro via Codex
replicate 2
pass
Answer
-0.0749537657284774Workflow
Galaxy via BioBlendscikit-learnlogistic regression
- Total tokens
- 6.06M
- Output
- 31.3K
DeepSeek V4 Pro via Codex
replicate 3
pass
Answer
-0.0749537657284774Workflow
Galaxy historyscikit-learnlogistic regressionmean summarySciPy
- Total tokens
- 8.88M
- Output
- 36.9K
DeepSeek V4 Pro via Claude CodeSuperseded
3 primary replicatesDeepSeek V4 Pro via Claude Code
replicate 1
pass
Answer
-0.07490936Workflow
Sklearn Generalized Linearlogistic regressionscikit-learn
- Total tokens
- 2.64M
- Output
- 16.0K
DeepSeek V4 Pro via Claude Code
replicate 2
passUDT + standard tools
Answer
-0.0749539180369506Workflow
Excel to tabularGalaxy UDTlogistic regressiongeneralized linear model
- Total tokens
- 2.90M
- Output
- 17.7K
DeepSeek V4 Pro via Claude Code
replicate 3
fail
Why it missed
Response variable was misidentifiedThis run treated the 41 PR patients as a treatment group and the 39 SD/PD patients as controls, then fit a regularized classifier to that framing. Modeling the requested efficacy outcome gives an age coefficient near -0.075, not -0.027.
Answer
-0.02708784Workflow
Sklearn Generalized Linearlogistic regressionSciPyscikit-learn
- Total tokens
- 3.61M
- Output
- 27.6K
Execution condition
Open-ended code with skills
Codex GPT-5.5
3 primary replicatesCodex GPT-5.5
replicate 1
pass
Answer
-0.07495391803708477Workflow
Local analysisstatsmodelsscikit-learnSciPygeneralized linear model
- Total tokens
- 177.4K
- Output
- 4.5K
Codex GPT-5.5
replicate 2
pass
Answer
-0.0749539180370848Workflow
Local analysismean summarygeneralized linear model
- Total tokens
- 216.5K
- Output
- 5.6K
Codex GPT-5.5
replicate 3
pass
Answer
-0.07495391803708477Workflow
Local analysisSciPystatsmodels
- Total tokens
- 199.4K
- Output
- 6.2K
Codex GPT-5.6 Sol
3 primary replicatesCodex GPT-5.6 Sol
replicate 1
pass
Answer
-0.07495391803695063Workflow
Local analysis
- Total tokens
- 218.8K
- Output
- 3.9K
Codex GPT-5.6 Sol
replicate 2
pass
Answer
-0.0749539180369506Workflow
Local analysis
- Total tokens
- 294.1K
- Output
- 3.9K
Codex GPT-5.6 Sol
replicate 3
pass
Answer
-0.0749539180370848Workflow
Local analysis
- Total tokens
- 224.8K
- Output
- 4.6K
Codex GPT-5.6 Luna
3 primary replicatesCodex GPT-5.6 Luna
replicate 1
pass
Answer
-0.0749539180370847Workflow
Local analysis
- Total tokens
- 669.9K
- Output
- 10.5K
Codex GPT-5.6 Luna
replicate 2
pass
Answer
-0.07495391803695063Workflow
Local analysis
- Total tokens
- 260.9K
- Output
- 6.2K
Codex GPT-5.6 Luna
replicate 3
pass
Answer
-0.07495391803708477Workflow
Local analysis
- Total tokens
- 362.6K
- Output
- 8.9K
DeepSeek V4 Pro via Codex
3 primary replicatesDeepSeek V4 Pro via Codex
replicate 1
pass
Answer
-0.07495391803708513Workflow
Local analysisSciPyscikit-learnstatsmodelslogistic regressionmean summary
- Total tokens
- 612.0K
- Output
- 8.5K
DeepSeek V4 Pro via Codex
replicate 2
pass
Answer
-0.074953918Workflow
Local analysisstatsmodelsscikit-learnSciPylogistic regression
- Total tokens
- 406.7K
- Output
- 8.5K
DeepSeek V4 Pro via Codex
replicate 3
pass
Answer
-0.07495392Workflow
Local analysisSciPystatsmodelsscikit-learngeneralized linear modellogistic regression
- Total tokens
- 266.3K
- Output
- 7.0K
DeepSeek V4 Pro via Claude CodeSuperseded
3 primary replicatesDeepSeek V4 Pro via Claude Code
replicate 1
pass
Answer
-0.074954Workflow
Local analysisstatsmodelsmean summarylogistic regressionscikit-learn
- Total tokens
- 466.8K
- Output
- 6.2K
DeepSeek V4 Pro via Claude Code
replicate 2
pass
Answer
-0.07495Workflow
Local analysisstatsmodelsSciPymean summarylogistic regressionscikit-learn
- Total tokens
- 544.9K
- Output
- 7.9K
DeepSeek V4 Pro via Claude Code
replicate 3
pass
Answer
-0.074953918037085Workflow
Local analysisstatsmodelsscikit-learnSciPylogistic regression
- Total tokens
- 667.8K
- Output
- 9.9K
bix-51-q8 · October 2026 · three additional replicates
GPT-5.6 Sol · token optimization
Galaxy-API code, high reasoning, Fast service. Previous runs are retained above.
Galaxy-API code · October 2026
replicate 1
Correct
Answer
-0.0749539180369506- Total tokens
- 796.6K
- Input
- 788.8K
- Cached input
- 743.7K
- Output
- 7.8K
Galaxy-API code · October 2026
replicate 2
Correct
Answer
-0.0749537657284774- Total tokens
- 2.58M
- Input
- 2.56M
- Cached input
- 2.48M
- Output
- 13.1K
Galaxy-API code · October 2026
replicate 3
Correct
Answer
-0.0749539180369506- Total tokens
- 1.29M
- Input
- 1.29M
- Cached input
- 1.22M
- Output
- 7.1K
Open-ended code averaged 0.25M tokens; previous website Galaxy averaged 2.72M; the new Galaxy runs averaged 1.56M, or 6.33× Open-ended code. Each mean covers three replicates of this same task with GPT-5.6 Sol.
Cached input is already included in input tokens. Full nested tool/job evidence is in each HF run's galaxy_execution_records.tar.gz, with an accompanying member index.