Benchmarks / 3D

EQ-Bench 4

Measures active emotional and social intelligence of LLMs in multi-turn roleplay chats with simulated personas, ranked by an LLM-judge panel Elo. Maintained by EQ-Bench. Score: Ranked Elo score from blind, bidirectional pairwise judging of multi-turn persona-chat transcripts by a three-judge LLM panel (soft Bradley–Terry fit, normalised against anchor models).

28models
–Open Index weight
–last updated

EQ-Bench 4

Higher is better · best effort per model

Chart settings
28 of 28 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5max1385––
2Fable 5max1340––
3Kimi K3max1339––
4GPT-5.5xhigh1315––
5Opus 4.7max1311––
6Opus 4.8max1281––
7GPT-5.4xhigh1272––
8Muse Spark 1.1max1260––
9GPT-5.6 Solmax1250––
10Sonnet 5max1236––
11GPT-5.6 Terramax1234––
12Inklingmax1226––
13Opus 4.6max1223––
14GLM 5.2max1222––
15MiMo V2.5 Proxhigh1208––
16Sonnet 4.6max1207––
17Kimi K2.6max1202––
18DeepSeek V4 Promax1166––
19GPT-5.6 Lunamax1156––
20MiniMax M3max1150––
21Gemini 3.1 Prohigh1142––
22Gemma 4 31B IThigh1120––
23Qwen 3.7 Maxmax1110––
24Gemini 3.5 Flashxhigh1087––
25Grok 4.3xhigh1075––
26Haiku 4.5xhigh1064––
27Qwen 3.6 27Bmax1026––
28Mistral Medium 3.5high993––