reasoning benchmark
EQ-Bench Leaderboard
EQ-Bench is an LLM-judged test evaluating active emotional intelligence abilities, understanding, insight, empathy, and interpersonal skills. The test set contains 45 challenging roleplay scenarios, most of which constitute pre-written prompts spanning 3 turns. The benchmark evaluates the performance of models by validating responses against several criteria and conducts pairwise comparisons to report a normalized Elo computation for each model.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
EQ-Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score1,586 points | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelXA | Score1,585 points | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
EQ-Bench Highlights
The leading models and scores on this benchmark.
EQ-Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for EQ-Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis eq-bench 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.
- 01XA
- Score
- 1,586 points
- Speed
- Up to 80 tok/s via xAI
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures EQ-Bench, not total model capability
- 02XAGrok-4.1xAI
- Score
- 1,585 points
- Speed
- Up to 100 tok/s via xAI
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures EQ-Bench, not total model capability
Selection summary
Best AI Models for EQ-Bench
Grok-4.1 Thinking currently leads EQ-Bench with 1,586 points. 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.
What is EQ-Bench?
What EQ-Bench measures and how its scores work.
EQ-Bench is an LLM-judged test evaluating active emotional intelligence abilities, understanding, insight, empathy, and interpersonal skills. The test set contains 45 challenging roleplay scenarios, most of which constitute pre-written prompts spanning 3 turns. The benchmark evaluates the performance of models by validating responses against several criteria and conducts pairwise comparisons to report a normalized Elo computation for each model.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- EQ-Bench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- eq-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about EQ-Bench.
Which model scores highest on EQ-Bench?
Grok-4.1 Thinking is currently ranked first with 1,586 points.
What does EQ-Bench measure?
EQ-Bench is an LLM-judged test evaluating active emotional intelligence abilities, understanding, insight, empathy, and interpersonal skills. The test set contains 45 challenging roleplay scenarios, most of which constitute pre-written prompts spanning 3 turns. The benchmark evaluates the performance of models by validating responses against several criteria and conducts pairwise comparisons to report a normalized Elo computation for each model.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 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.