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psychology benchmark

Social IQa Leaderboard

Social IQa is a benchmark of commonsense reasoning about social situations with 38,000 multiple-choice questions.

Updated Sep 5, 2026

Models9
Model coverage9
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

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-instructMicrosoftScore78.00%Percentile100.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank02ModelMIPhi-3.5-mini-instructMicrosoftScore74.70%Percentile87.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank03ModelMIPhi 4 MiniMicrosoftScore72.50%Percentile75.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemma 2 27BGoogleScore53.70%Percentile62.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemma 2 9BGoogleScore53.40%Percentile50.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemma 3n E4BGoogleScore50.00%Percentile37.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank07ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore50.00%Percentile25.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemma 3n E2BGoogleScore48.80%Percentile12.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore48.80%Percentile0.00%Participants9EvidenceCEvaluatedSep 8, 2026

Social IQa Highlights

The leading models and scores on this benchmark.

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.

What is Social IQa?

What Social IQa measures and how its scores work.

Social IQa is a psychology benchmark covering everyday social situations, social interactions, and theory of mind reasoning.

It measures emotional and social intelligence, commonsense understanding of social interactions, and reasoning about the implied emotions and behavior of others, reported as Score in ratio units.

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
No
Evaluation key
overall

LLM Stats. 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 78.00%.

What are the top three models on Social IQa?

The current leaders are Phi-3.5-MoE-instruct (78.00%), Phi-3.5-mini-instruct (74.70%), and Phi 4 Mini (72.50%).

Which Social IQa model has the lowest official input price?

Phi 4 Mini has the lowest matched official input price at $0.08 input / $0.30 output per 1M tokens.

Which models are fastest among Social IQa results?

The fastest matched records are Phi-3.5-mini-instruct (23.00 tok/s via Azure).

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 Social IQa measure?

It measures emotional and social intelligence, commonsense understanding of social interactions, and reasoning about the implied emotions and behavior of others, reported as Score in ratio units.

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?

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

Rank #1Phi-3.5-MoE-instruct78.00%
Rank #2Phi-3.5-mini-instruct74.70%
Rank #3Phi 4 Mini72.50%
Rank #4Gemma 2 27B53.70%

Ranking basisThis social iqa 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
    MI
    Phi-3.5-MoE-instructMicrosoft
    Score
    78.00%

    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
    74.70%
    Speed
    Up to 23.00 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
    Microsoft
    Score
    72.50%
    Price
    $0.08 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
    Google
    Score
    53.70%

    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
    Google
    Score
    53.40%

    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 78.00%. 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.

Phi 4 Mini
Gemma 2 27B
Gemma 2 9B
Benchmark rank #1Phi-3.5-MoE-instruct78.00%
Benchmark rank #2Phi-3.5-mini-instruct74.70% · Up to 23.00 tok/s via Azure
Benchmark rank #3Phi 4 Mini72.50% · $0.08 input / $0.30 output per 1M tokens