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PolicyBench

GPT-6.1 Sol

OpenAI · AI alone, no tools
Current board, snapshot 2026-09-30
United States rank
#8 of 46
US exact
90.6%
United States

United States benchmark

Exact match
90.6%
Bounded score
95.6%
Parse rate
100.0%
Eligibility flags
955/975

Exact match by programall 18 output groups, best first

Bar length is the unweighted exact-match rate on that program's outputs; the right column is the program's share of the headline weight, which follows household dollars, so the bars do not average to the headline.

  1. Free school meals eligibility100.0%0.7%
  2. Local income tax100.0%0.3%
  3. Person-level CHIP eligibility100.0%0.2%
  4. Person-level Early Head Start eligibility100.0%3.1%
  5. Person-level Head Start eligibility100.0%1.2%
  6. Person-level WIC eligibility100.0%0.3%
  7. Reduced-price school meals eligibility100.0%0.1%
  8. Self-employment tax100.0%2.1%
  9. SSI100.0%2.0%
  10. TANF99.0%0.3%
  11. Federal refundable credits99.0%3.7%
  12. Person-level Medicaid eligibility96.5%30%
  13. Person-level Medicare eligibility91.9%11%
  14. SNAP91.4%4.1%
  15. State refundable credits89.8%0.6%
  16. Payroll tax86.9%16%
  17. Federal tax before refundable credits84.1%19%
  18. State tax before refundable credits74.4%6.0%
Table view (exact, within 1%, outputs), hardest first
ProgramExactWithin 1%n
State tax before refundable credits74.4%76.7%86
Federal tax before refundable credits84.1%85.4%82
Payroll tax86.9%86.9%99
State refundable credits89.8%89.8%98
SNAP91.4%92.5%93
Person-level Medicare eligibility91.9%91.9%172
Person-level Medicaid eligibility96.5%96.5%173
Federal refundable credits99.0%99.0%98
TANF99.0%99.0%100
Free school meals eligibility100.0%100.0%100
Local income tax100.0%100.0%100
Person-level CHIP eligibility100.0%100.0%177
Person-level Early Head Start eligibility100.0%100.0%38
Person-level Head Start eligibility100.0%100.0%38
Person-level WIC eligibility100.0%100.0%177
Reduced-price school meals eligibility100.0%100.0%100
Self-employment tax100.0%100.0%100
SSI100.0%100.0%97

Hardest casesworst misses on positive references

Scores are from the frozen manuscript snapshot under the AI-alone condition: structured responses over the same household facts (whole-scenario or in output subsets, per the serving-configuration table), no tools, graded against PolicyEngine reference outputs. See the leaderboard and paper for methodology. The frozen US annotations cover 7,860 rows whose legacy threshold score is below 1. That universe contains 7,856 of 7,856 exact-match misses and 4 exact hits. Another 2,107 rows with bounded score below 100 were not selected and have no audit annotation.