chat benchmark
EQ-Bench is an LLM-judged test of emotional intelligence using 45 challenging roleplay scenarios, most of which are pre-written prompts spanning 3 turns.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score1,586.00 points | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelXA | Score1,585.00 points | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What EQ-Bench measures and how its scores work.
EQ-Bench is a chat benchmark that evaluates language models through roleplay scenarios and reports results as a Score in points.
It measures active emotional intelligence abilities, understanding, insight, empathy, and interpersonal skills by validating responses against several criteria and using pairwise comparisons to calculate a normalized Elo for each model.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about EQ-Bench.
Grok-4.1 Thinking is currently ranked first with 1,586.00 points.
The current leaders are Grok-4.1 Thinking (1,586.00 points) and Grok-4.1 (1,585.00 points).
No matched official input price is currently available.
The fastest matched records are Grok-4.1 (100.00 tok/s via xAI) and Grok-4.1 Thinking (80.00 tok/s via xAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures active emotional intelligence abilities, understanding, insight, empathy, and interpersonal skills by validating responses against several criteria and using pairwise comparisons to calculate a normalized Elo for each model.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis eq-bench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Grok-4.1 Thinking currently leads EQ-Bench with 1,586.00 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.