OpenAI / MODEL EVIDENCE

GPT-4-turbo-2024-04-09

8 benchmarks · 13 observations · 6 sources

Scores at a glance

8 benchmarks · large dot: GPT-4-turbo-2024-04-09; small dots: closest models where reported

2.290.6

gpt-4-turbo-2024-04-09 · RepoQA & LongCodeArena · RepoQA retrieval accuracy · similarity threshold 0.8 ↗

7.662.5

gpt-4-turbo-2024-04-09 · SimpleQA · Correct answers · OpenAI Simple Evals · archived July 2025 ↗

71.599.3

gpt-4-turbo-2024-04-09 · HumanEval · Pass@1 · OpenAI Simple Evals · archived July 2025 ↗

10611278

GPT-4-Turbo-2024-04-09 · Chatbot Arena · Chatbot Arena Vision · English Elo · 2024-11-13 · November 13, 2024 snapshot ↗

8693

GPT-4 Turbo (2024-04-09) · MMLU-Redux (2.0) · Virology · corrected-instance accuracy · MMLU-Redux 2.0 paper · audited subject comparison ↗

4 more reported results

100% · GPT-4 Turbo (2024-04-09) · MMLU-Redux (2.0) · Logical Fallacies · corrected-instance accuracy · MMLU-Redux 2.0 paper · audited subject comparison · Are We Done with MMLU? ↗

76% · GPT-4 Turbo (2024-04-09) · MMLU-Redux (2.0) · College Chemistry · corrected-instance accuracy · MMLU-Redux 2.0 paper · audited subject comparison · Are We Done with MMLU? ↗

63% · GPT-4 Turbo (2024-04-09) · MMLU-Redux (2.0) · Professional Law · corrected-instance accuracy · MMLU-Redux 2.0 paper · audited subject comparison · Are We Done with MMLU? ↗

93% · GPT-4 Turbo (2024-04-09) · MMLU-Redux (2.0) · Human Sexuality · corrected-instance accuracy · MMLU-Redux 2.0 paper · audited subject comparison · Are We Done with MMLU? ↗

ForecastBench ↗63.2 Brier index
46.467

gpt-4-turbo-2024-04-09† · Overall difficulty-adjusted Brier index ↗

Closest models by score

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

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.

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. Are We Done with MMLU? — published result table ↗

    Gema, Aryo Pradipta, Leang, Joshua Ong Jun, Hong, Giwon, Devoto, Alessio, Mancino, Alberto Carlo Maria, Saxena, Rohit et al. · 2024

    All 16 authors

    Gema, Aryo Pradipta, Leang, Joshua Ong Jun, Hong, Giwon, Devoto, Alessio, Mancino, Alberto Carlo Maria, Saxena, Rohit, He, Xuanli, Zhao, Yu, Du, Xiaotang, Madani, Mohammad Reza Ghasemi, Barale, Claire, McHardy, Robert, Harris, Joshua, Kaddour, Jean, van Krieken, Emile, Minervini, Pasquale

  2. RepoQA: Evaluating Long Context Code Understanding — published result table ↗

    Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang et al. · 2024

    All 8 authors

    Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang

  3. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions — published result table ↗

    Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari et al. · 2024

    All 33 authors

    Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, Binyuan Hui, Niklas Muennighoff, David Lo, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro Von Werra

  4. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models — published result table ↗

    Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung et al. · 2024

    All 50 authors

    Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha

  5. Forecastbench — methodology and published results ↗

    Epoch AI · 2026

  6. Simple Evals — model benchmark results ↗

    OpenAI · 2025

Names used in source tables

GPT-4 Turbo (2024-04-09) · GPT-4-Turbo / 2024-04-09 · GPT-4-Turbo-2024-04-09 · gpt-4-turbo-2024-04-09 · gpt-4-turbo-2024-04-09†