SynthPanel (Llama 3.3 70B)

3 runs · 3 datasets · 1 model

slug: synthpanel-llama-3-3-70b

0.791

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.

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 product

synthpanel--llama-3.3-70b-instruct--tdefault--tplcurrent--4520a502

0.745 ± 0.034

SPS · 95% CI [0.710, 0.777] · n = 100

Question-type breakdown (6 topics)

Topic	SPS	p_dist	p_rank	p_refuse	N
Health & Science	0.887	0.775	1.000	1.000	1
Economy & Work	0.703	0.770	0.636	0.949	3
Trust & Wellbeing	0.680	0.592	0.768	0.733	2
International Relations & Security	0.669	0.653	0.685	0.906	60
Politics & Governance	0.661	0.620	0.703	0.887	30
General Attitudes	0.588	0.713	0.463	0.983	4

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 product

synthpanel--llama-3.3-70b-instruct--tdefault--tplcurrent--482313b7

0.791 ± 0.020

SPS · 95% CI [0.769, 0.810] · n = 100

Question-type breakdown (9 topics)

Topic	SPS	p_dist	p_rank	p_refuse	N
Health & Science	0.806	0.758	0.854	0.936	1
Social Values & Religion	0.762	0.742	0.782	0.964	15
Technology & Digital Life	0.761	0.715	0.808	0.995	4
Economy & Work	0.755	0.720	0.790	0.911	21
Trust & Wellbeing	0.743	0.669	0.816	0.873	1
International Relations & Security	0.708	0.716	0.700	0.905	20
Media & Information	0.701	0.744	0.658	0.969	2
General Attitudes	0.682	0.649	0.716	0.954	35
Politics & Governance	0.576	0.494	0.658	0.670	1

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 product

synthpanel--llama-3.3-70b-instruct--tdefault--tplcurrent--9d6e5c2c

0.776 ± 0.021

SPS · 95% CI [0.754, 0.796] · n = 100

Question-type breakdown (9 topics)

Topic	SPS	p_dist	p_rank	p_refuse	N
Politics & Governance	0.772	0.716	0.828	0.981	4
Technology & Digital Life	0.745	0.710	0.780	0.932	16
Health & Science	0.722	0.680	0.764	0.973	6
International Relations & Security	0.702	0.649	0.755	0.982	15
Social Values & Religion	0.690	0.614	0.765	0.962	27
Economy & Work	0.676	0.629	0.724	0.962	13
General Attitudes	0.608	0.592	0.623	0.924	17
Identity & Demographics	0.506	0.394	0.618	0.995	1
Media & Information	0.505	0.466	0.543	0.978	1

Not yet measured

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

How to submit a demographic-conditioned run →

No demographic conditioning data has been published for this vendor yet. The question-type matrix above shows topic-level parity; subgroup rows fill in once SynthPanel-style conditioned runs land.

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