Open PL LLM - EQ-Bench: leaderboard

Polish EQ-Bench on the Open PL LLM Leaderboard (SpeakLeash): predicting the intensity of characters' emotions in dialogues. The score is at most 100 and is signed, falling below zero when many answers cannot be parsed; higher is better. Runs not available on the Hugging Face Hub are excluded.

Metric: EQ-Bench Score. Source: huggingface.co. Saturation forecast: Estimated already saturated. 306 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 14B Instruct65.19#654
2Qwen 2.5 72B Instruct64.29#469
3Llama 3.1 405B Instruct FP864#400
4Qwen 2 72B Instruct63.17#579
5Mistral Large 2 (Nov) Instruct (2411)63.12#480
6Qwen 2.5 32B Instruct63.02#509
7WizardLM-2 8x22B62.81#723
8Mistral Large 2 (Jul)62.62#490
9Llama 3.3 70B Instruct61.79#541
10Llama 3.1 Nemotron 70B Instruct61.55#563
11cogito-v1-preview-qwen-14B61.27
12Qwen 3 32B61.15#449
13DeepSeek V3 (0324)60.48#349
14QwQ-32B60.04#422
15Qwen 2.5 32B59.81#544

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=open-pl-llm-eq-bench · How It Works · Data refreshed daily, snapshot 2026-11-05.