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PolicyBench

GPT-5.6 Terra

OpenAI · AI alone, no tools
Current board, snapshot 2026-09-30
United States rank
#15 of 46
US exact
89.0%
United States

United States benchmark

Exact match
89.0%
Bounded score
95.3%
Parse rate
100.0%
Eligibility flags
957/975

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. Local income tax100.0%0.3%
  2. Person-level CHIP eligibility100.0%0.2%
  3. Person-level Early Head Start eligibility100.0%3.1%
  4. Person-level Head Start eligibility100.0%1.2%
  5. Person-level Medicare eligibility100.0%11%
  6. Person-level WIC eligibility99.4%0.3%
  7. Self-employment tax99.0%2.1%
  8. TANF99.0%0.3%
  9. Free school meals eligibility98.0%0.7%
  10. Reduced-price school meals eligibility98.0%0.1%
  11. SSI96.9%2.0%
  12. Person-level Medicaid eligibility92.5%30%
  13. Federal refundable credits90.8%3.7%
  14. Payroll tax87.4%16%
  15. SNAP87.1%4.1%
  16. State refundable credits80.6%0.6%
  17. Federal tax before refundable credits75.9%19%
  18. State tax before refundable credits68.2%6.0%
Table view (exact, within 1%, outputs), hardest first
ProgramExactWithin 1%n
State tax before refundable credits68.2%71.8%85
Federal tax before refundable credits75.9%79.7%79
State refundable credits80.6%80.6%98
SNAP87.1%90.3%93
Payroll tax87.4%89.5%95
Federal refundable credits90.8%91.8%98
Person-level Medicaid eligibility92.5%92.5%173
SSI96.9%97.9%97
Free school meals eligibility98.0%98.0%100
Reduced-price school meals eligibility98.0%98.0%100
Self-employment tax99.0%99.0%100
TANF99.0%99.0%100
Person-level WIC eligibility99.4%99.4%177
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 Medicare eligibility100.0%100.0%172

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 7,527 rows whose legacy threshold score is below 1. That universe contains 7,523 of 7,523 exact-match misses and 4 exact hits. Another 2,072 rows with bounded score below 100 were not selected and have no audit annotation.