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Llama 3.3 70B

3 runs · 3 datasets · 1 model

slug: llama-3-3-70b

0.819
Best SPS · opinionsqa

Disaggregated subgroup scorecard. Each card below is one published run for this vendor; expand the question-type and demographic-subgroup sections to see the matrix beneath the headline SPS. Where coverage permits, 95% CI bands accompany the point estimate.

What each cell measures

Each cell compares this vendor's synthetic responses against real human respondents in that demographic subgroup — published survey ground truth, not a model's guess about the subgroup. Higher = closer to how that real subgroup actually answered.

Demographic conditioning here is not stereotyping: every conditioned score is checked against what real subgroup members said, not against assumptions about them — and where the vendor's output diverges from the real subgroup, the score drops.

  • globalopinionqa — ground truth: Durmus et al. 2023, Anthropic — llm_global_opinions
  • opinionsqa — ground truth: Santurkar et al., ICML 2023 — Whose Opinions Do LLMs Reflect? (derived from Pew American Trends Panel)
  • subpop — ground truth: Suh et al., ACL 2025 — SubPOP: Subpopulation-Level Opinion Prediction

Low-n cells: cells with n < 30 are shown muted and tagged low n — suggestive only instead of color-graded; they are reported for transparency, not as findings.

CIs: "no CI — single run" marks point estimates from a single run with no confidence interval yet; treat the uncertainty as unknown, never zero.

Columns: Score = distributional parity (p_dist) restricted to the subgroup · p_cond = conditioning strength vs the unconditioned baseline · N = questions answered under that conditioning · Cov. = coverage dot derived from N (green = high, ≥100 · amber = medium, 50–99 · red = low, <50). Topic tables: SPS = Survey Parity Score for the topic · p_dist = 1 − mean(JSD) · p_rank = (1 + mean(τ)) / 2 · p_refuse = 1 − mean(|R_model − R_human|).

Multiple comparisons: with this many subgroup cells, a few extreme cells are expected by chance alone — read patterns across a dimension, not single cells.

globalopinionqa raw

raw--llama-3.3-70b-instruct--tdefault--tplcurrent--f2748030

0.762 ± 0.030
SPS · 95% CI [0.731, 0.791] · n = 100
Question-type breakdown (7 topics)
Topic SPS p_dist p_rank p_refuse N
Health & Science low n — suggestive only 0.859 0.791 0.927 1.000 2
Technology & Digital Life low n — suggestive only 0.853 0.803 0.903 0.968 3
Politics & Governance 0.698 0.643 0.754 0.972 22
General Attitudes 0.644 0.666 0.623 1.000 11
International Relations & Security 0.640 0.636 0.644 0.980 50
Economy & Work low n — suggestive only 0.626 0.661 0.592 0.967 5
Trust & Wellbeing low n — suggestive only 0.497 0.422 0.572 0.980 7

Topics with N < 10 are muted and tagged "low n — suggestive only": too few questions for a stable 3-decimal score.

Not yet measured

This vendor has no demographic-conditioned runs for age, geography, education, or any other subgroup dimension on globalopinionqa. No cells are fabricated — scores appear here only when a conditioned run actually measured them.

How to submit a demographic-conditioned run →

opinionsqa raw

raw--llama-3.3-70b-instruct--tdefault--tplcurrent--6480fa3c

0.819 ± 0.007
SPS · 95% CI [0.812, 0.826] · n = 684
Question-type breakdown (10 topics)
Topic SPS p_dist p_rank p_refuse N
Health & Science 0.794 0.753 0.835 0.987 47
Trust & Wellbeing 0.752 0.700 0.803 0.995 25
Media & Information 0.742 0.710 0.775 0.993 63
Economy & Work 0.740 0.705 0.775 0.991 68
Identity & Demographics 0.734 0.659 0.809 0.985 39
Social Values & Religion 0.731 0.686 0.777 0.990 37
General Attitudes 0.726 0.705 0.747 0.989 190
Politics & Governance 0.724 0.661 0.787 0.989 40
International Relations & Security 0.722 0.667 0.777 0.988 149
Technology & Digital Life 0.712 0.681 0.743 0.993 26

Not yet measured

This vendor has no demographic-conditioned runs for age, geography, education, or any other subgroup dimension on opinionsqa. No cells are fabricated — scores appear here only when a conditioned run actually measured them.

How to submit a demographic-conditioned run →

subpop raw

raw--llama-3.3-70b-instruct--tdefault--tplcurrent--670d96d8

0.796 ± 0.016
SPS · 95% CI [0.778, 0.810] · n = 200
Question-type breakdown (9 topics)
Topic SPS p_dist p_rank p_refuse N
Trust & Wellbeing low n — suggestive only 0.875 0.795 0.954 0.988 2
Health & Science low n — suggestive only 0.807 0.813 0.800 0.994 5
Economy & Work 0.717 0.658 0.776 0.991 17
Social Values & Religion 0.715 0.648 0.783 0.987 36
International Relations & Security 0.711 0.662 0.761 0.991 33
General Attitudes 0.704 0.667 0.741 0.913 37
Politics & Governance 0.704 0.644 0.763 0.983 22
Technology & Digital Life 0.675 0.631 0.720 0.993 47
Identity & Demographics low n — suggestive only 0.631 0.487 0.774 0.995 1

Topics with N < 10 are muted and tagged "low n — suggestive only": too few questions for a stable 3-decimal score.

Demographic subgroup scorecard (10 cells · 5 dimensions)
Dimension Subgroup Score 95% CI p_cond N Cov.
Geography (US Census region) Northeast 0.639 no CI — single run 0.032 100
South 0.625 no CI — single run 0.049 100
Education College graduate/some postgrad 0.653 no CI — single run 0.028 100
Less than high school 0.612 no CI — single run 0.070 100
Income $100,000 or more 0.643 no CI — single run 0.028 100
Less than $30,000 0.631 no CI — single run 0.057 100
Political party Democrat 0.661 no CI — single run 0.040 100
Republican 0.682 no CI — single run 0.101 100
Sex Female 0.610 no CI — single run 0.029 100
Male 0.643 no CI — single run 0.031 100
Not yet measured: this vendor has no demographic-conditioned runs for Age. Submit a conditioned run to fill in the missing dimension.
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