S-Eval - English: leaderboard

The same eight-risk-area base prompts in English; the number is the share of responses judged safe. The Chinese board is the headline; rankings differ between languages (ERNIE-4.0 leads in English).

Metric: Safety score (%, base risk prompts). Source: huggingface.co. 45 models tracked.

Top models

#ModelScoreOverall rank
1GPT-OSS-120B86.4#700
2Llama 2 13B Chat85.1#8186
3GPT-OSS-20B82.9#1147
4Llama 2 7B Chat78.2#8805
5Qwen 3 235B A22B 2507 (Thinking)77.7#463
6Baichuan2-13B-Chat77.4#6576
7Llama 2 70B Chat77.2#6800
8Qwen 3 235B A22B 2507 Instruct75.5#619
9Qwen-14B-Chat73.5#4967
10Qwen-72B-Chat71.5#2398
11Llama 3.1 8B Instruct70.7#4246
12Llama 3 8B Instruct69.1#4612
13gemma-2B (IT)67.5#9327
14gemma-7B (IT)61.8#8825
15GPT-4 Turbo60#1001

Interactive version: theaggregate.ai/benchmark?slug=s-eval-english · How It Works · Data refreshed daily, snapshot 2026-11-13.