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Models / OpenAI

OpenAI / MODEL EVIDENCE

GPT-3.5-turbo / 0613

5 benchmarks · 5 observations · 4 sources

Scores at a glance

5 benchmarks · large dot: GPT-3.5-turbo / 0613; small dots: closest models where reported

AgentBench & ToolBench ↗2.32 points
0.034.01

gpt-3.5-turbo / 0613 · AgentBench & ToolBench · AgentBench overall · Original standard test set ↗

HarmBench ↗21.3%
0.865.8

GPT-3.5-turbo-0613 · HarmBench · HarmBench harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗

StrongREJECT ↗4%
078

GPT-3.5-turbo-0613 · StrongREJECT · StrongREJECT harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

27.8 percentile-point gap

3 of 5 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Filter comparisons to this model →

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Aider refactoring benchmark ↗

    Paul Gauthier, Aider contributors

  2. AgentBench: Evaluating LLMs as Agents — published result table ↗

    Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai et al. · 2023

    All 22 authors

    Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

  3. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal — published result table ↗

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang et al. · 2024

    All 16 authors

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

  4. Holistic Evaluation of Language Models (HELM) ↗

    Stanford Center for Research on Foundation Models

Names used in source tables

GPT-3.5-turbo-0613 · gpt-3.5-turbo / 0613 · gpt-3.5-turbo-0613