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reasoning benchmark

PopQA Leaderboard

PopQA is an entity-centric open-domain question-answering dataset of 14,000 QA pairs covering 16 relationship types from Wikidata, with a focus on entities of varying popularity levels.

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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PopQA Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelIBGranite 3.3 8B BaseIBMScore26.17%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelIBGranite 3.3 8B InstructIBMScore26.17%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelIBIBM Granite 4.0 Tiny PreviewIBMScore22.90%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

PopQA Highlights

The leading models and scores on this benchmark.

PopQA Score Distribution

A closer view of the leading scores on this benchmark.

PopQA

The Top AI Models for PopQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is PopQA?

What PopQA measures and how its scores work.

PopQA is a dataset created by converting Wikidata knowledge triples into natural-language questions using templates, including questions about long-tail entities.

It measures language models' ability to memorize and recall factual knowledge across entities and evaluates parametric and non-parametric memory effectiveness.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
PopQA
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about PopQA.

Which model scores highest on PopQA?

Granite 3.3 8B Base is currently ranked first with 26.17%.

What are the top three models on PopQA?

The current leaders are Granite 3.3 8B Base (26.17%), Granite 3.3 8B Instruct (26.17%), and IBM Granite 4.0 Tiny Preview (22.90%).

Which PopQA model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among PopQA results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does PopQA measure?

It measures language models' ability to memorize and recall factual knowledge across entities and evaluates parametric and non-parametric memory effectiveness.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Granite 3.3 8B Base26.17%
Rank #2Granite 3.3 8B Instruct26.17%
Rank #3IBM Granite 4.0 Tiny Preview22.90%

Ranking basisThis popqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    IB
    Granite 3.3 8B BaseIBM
    Score
    26.17%

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PopQA, not total model capability
  2. 02
    IB
    Granite 3.3 8B InstructIBM
    Score
    26.17%

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PopQA, not total model capability
  3. 03
    IB
    IBM
    Score
    22.90%

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PopQA, not total model capability

Selection summary

Best AI Models for PopQA

Granite 3.3 8B Base currently leads PopQA with 26.17%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

IBM Granite 4.0 Tiny Preview
Benchmark rank #1Granite 3.3 8B Base26.17%
Benchmark rank #2Granite 3.3 8B Instruct26.17%
Benchmark rank #3IBM Granite 4.0 Tiny Preview22.90%