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psychology benchmark

Social IQa Leaderboard

The first large-scale benchmark for commonsense reasoning about social situations. Contains 38,000 multiple choice questions probing emotional and social intelligence in everyday situations, testing commonsense understanding of social interactions and theory of mind reasoning about the implied emotions and behavior of others.

Updated Aug 17, 2026

Models9
Model coverage9
MetricScore
EvidenceB

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Social IQa Ranking

Higher score ranks better on this benchmark.

9 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi-3.5-MoE-instructMicrosoftScore78.0%Percentile100.0%Participants9EvidenceCEvaluatedAug 17, 2026
Rank02ModelMIPhi-3.5-mini-instructMicrosoftScore74.7%Percentile87.5%Participants9EvidenceCEvaluatedAug 17, 2026
Rank03ModelMIPhi 4 MiniMicrosoftScore72.5%Percentile75.0%Participants9EvidenceCEvaluatedAug 17, 2026
Rank04ModelGOGemma 2 27BGoogleScore53.7%Percentile62.5%Participants9EvidenceCEvaluatedAug 17, 2026
Rank05ModelGOGemma 2 9BGoogleScore53.4%Percentile50.0%Participants9EvidenceCEvaluatedAug 17, 2026
Rank06ModelGOGemma 3n E4BGoogleScore50.0%Percentile37.5%Participants9EvidenceCEvaluatedAug 17, 2026
Rank07ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore50.0%Percentile25.0%Participants9EvidenceCEvaluatedAug 17, 2026
Rank08ModelGOGemma 3n E2BGoogleScore48.8%Percentile12.5%Participants9EvidenceCEvaluatedAug 17, 2026
Rank09ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore48.8%Percentile0.0%Participants9EvidenceCEvaluatedAug 17, 2026

Social IQa Highlights

The leading models and scores on this benchmark.

Rank #1Phi-3.5-MoE-instruct78.0%Rank #2Phi-3.5-mini-instruct74.7%Rank #3Phi 4 Mini72.5%Rank #4Gemma 2 27B53.7%

Social IQa Score Distribution

A closer view of the leading scores on this benchmark.

Social IQa

The Top AI Models for Social IQa

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

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

  1. 01
    MI
    Phi-3.5-MoE-instructMicrosoft
    Score
    78.0%

    Strengths

    • Ranks #1 of 9 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Social IQa, not total model capability
  2. 02
    MI
    Phi-3.5-mini-instructMicrosoft
    Score
    74.7%
    Speed
    Up to 23 tok/s via Azure

    Strengths

    • Ranks #2 of 9 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Social IQa, not total model capability
  3. 03
    MI
    Phi 4 MiniMicrosoft
    Score
    72.5%
    Price
    $0.07 input / $0.30 output per 1M tokens

    Strengths

    • Ranks #3 of 9 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Social IQa, not total model capability
  4. 04
    GO
    Gemma 2 27BGoogle
    Score
    53.7%

    Strengths

    • Ranks #4 of 9 compared models
    • 63th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Social IQa, not total model capability
  5. 05
    GO
    Gemma 2 9BGoogle
    Score
    53.4%

    Strengths

    • Ranks #5 of 9 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Social IQa, not total model capability

Selection summary

Best AI Models for Social IQa

Phi-3.5-MoE-instruct currently leads Social IQa with 78.0%. 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.

Benchmark rank #1Phi-3.5-MoE-instruct78.0%Benchmark rank #2Phi-3.5-mini-instruct74.7% · Up to 23 tok/s via AzureBenchmark rank #3Phi 4 Mini72.5% · $0.07 input / $0.30 output per 1M tokens

What is Social IQa?

What Social IQa measures and how its scores work.

The first large-scale benchmark for commonsense reasoning about social situations. Contains 38,000 multiple choice questions probing emotional and social intelligence in everyday situations, testing commonsense understanding of social interactions and theory of mind reasoning about the implied emotions and behavior of others.

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

Family
Social IQa
Modality
text
Primary category
psychology
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
social-iqa|llm-stats-current

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

FAQ

Common questions about Social IQa.

Which model scores highest on Social IQa?

Phi-3.5-MoE-instruct is currently ranked first with 78.0%.

What does Social IQa measure?

The first large-scale benchmark for commonsense reasoning about social situations. Contains 38,000 multiple choice questions probing emotional and social intelligence in everyday situations, testing commonsense understanding of social interactions and theory of mind reasoning about the implied emotions and behavior of others.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

9 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.