OpenAI / MODEL EVIDENCE

GPT-4o mini

48 benchmarks · 63 observations · 47 sources · released 2024-07-18

Scores at a glance

48 benchmarks · large dot: GPT-4o mini; small dots: closest models where reported

3.2998.13

GPT-4o mini · MATH level 5 · Best score (across scorers) · % ↗

3.768.3

GPT-4o mini · Balrog · Average progress · % ↗

73.488.7

GPT-4o mini · PIQA · Score · % ↗

LMCA ↗10.37%
2.7868.26

GPT-4o mini · LMCA · Score · % ↗

22.0882.35

GPT-4o mini · LiveBench · Global average · % ↗

37.975

GPT-4o mini · VideoMME · Overall (no subtitles) · % ↗

5.7874.39

GPT-4o mini · Scale Labs · Risk elicitation score ↗

44.4460

GPT-4o-mini · CORE-Bench · CORE-Bench-Easy · Test set ↗

5 more reported results

8.89% · GPT-4o-mini · CORE-Bench · CORE-Bench-Easy · Test set · CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗

32.59% · GPT-4o-mini · CORE-Bench · CORE-Bench-Medium · Test set · CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗

2.22% · GPT-4o-mini · CORE-Bench · CORE-Bench-Medium · Test set · CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗

16.3% · GPT-4o-mini · CORE-Bench · CORE-Bench-Hard · Test set · CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗

2.22% · GPT-4o-mini · CORE-Bench · CORE-Bench-Hard · Test set · CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ↗

31.6851.94

GPT-4o-mini · PhysBench · Overall accuracy · physical-world question answering ↗

6.481

GPT-4o-mini · ZebraLogic · Grid-level accuracy · complete puzzles ↗

65.393.3

GPT-4o-mini · RULER · 128k context · HELMET paper · RULER comparison ↗

1.960.3

GPT-4o-mini · InfiniteBench · InfiniteBench aggregate · HELMET paper · original-author harness ↗

33.1480.86

GPT-4o-mini · JudgeBench · Overall pairwise accuracy · Arena-Hard judge scaffold ↗

469.67

GPT-4o-mini · MedAgentBench · Overall task success · original evaluation ↗

61.783.6

GPT-4o mini · FACTS Grounding · Final factuality score · judge average · eligibility-filtered evaluation ↗

1.319.5

GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations ↗

5 more reported results

2.6% · GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations · Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale ↗

5.3% · GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations · Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale ↗

7.3% · GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations · Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale ↗

2.7% · GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations · Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale ↗

4.2% · GPT-4o-mini · WindowsAgentArena · Task success · Navi configurations · Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale ↗

Closest models by score

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

22.8 percentile-point gap

16 of 17 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.

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 LLM Leaderboards — Polyglot coding benchmark ↗

    Aider

  2. Aider refactoring benchmark ↗

    Paul Gauthier, Aider contributors

  3. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone ↗

    Marah Abdin, Jyoti Aneja, Hany Awadalla, Ahmed Awadallah, Ammar Ahmad Awan, Nguyen Bach et al. · 2024

    All 129 authors

    Marah Abdin, Jyoti Aneja, Hany Awadalla, Ahmed Awadallah, Ammar Ahmad Awan, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Qin Cai, Vishrav Chaudhary, Dong Chen, Dongdong Chen, Weizhu Chen, Yen-Chun Chen, Yi-Ling Chen, Hao Cheng, Parul Chopra, Xiyang Dai, Matthew Dixon, Ronen Eldan, Victor Fragoso, Jianfeng Gao, Mei Gao, Min Gao, Amit Garg, Allie Del Giorno, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Wenxiang Hu, Jamie Huynh, Dan Iter, Sam Ade Jacobs, Mojan Javaheripi, Xin Jin, Nikos Karampatziakis, Piero Kauffmann, Mahoud Khademi, Dongwoo Kim, Young Jin Kim, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Yunsheng Li, Chen Liang, Lars Liden, Xihui Lin, Zeqi Lin, Ce Liu, Liyuan Liu, Mengchen Liu, Weishung Liu, Xiaodong Liu, Chong Luo, Piyush Madan, Ali Mahmoudzadeh, David Majercak, Matt Mazzola, Caio César Teodoro Mendes, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Liliang Ren, Gustavo de Rosa, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Yelong Shen, Swadheen Shukla, Xia Song, Masahiro Tanaka, Andrea Tupini, Praneetha Vaddamanu, Chunyu Wang, Guanhua Wang, Lijuan Wang, Shuohang Wang, Xin Wang, Yu Wang, Rachel Ward, Wen Wen, Philipp Witte, Haiping Wu, Xiaoxia Wu, Michael Wyatt, Bin Xiao, Can Xu, Jiahang Xu, Weijian Xu, Jilong Xue, Sonali Yadav, Fan Yang, Jianwei Yang, Yifan Yang, Ziyi Yang, Donghan Yu, Lu Yuan, Chenruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

  4. Phi-4 Technical Report ↗

    Marah Abdin, Jyoti Aneja, Harkirat Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar et al. · 2024

    All 27 authors

    Marah Abdin, Jyoti Aneja, Harkirat Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang

  5. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs — published result table ↗

    Bai, Yushi, Zhang, Jiajie, Lv, Xin, Zheng, Linzhi, Zhu, Siqi, Hou, Lei et al. · 2024

    All 9 authors

    Bai, Yushi, Zhang, Jiajie, Lv, Xin, Zheng, Linzhi, Zhu, Siqi, Hou, Lei, Dong, Yuxiao, Tang, Jie, Li, Juanzi

  6. Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale — published result table ↗

    Bonatti, Rogerio, Zhao, Dan, Bonacci, Francesco, Dupont, Dillon, Abdali, Sara, Li, Yinheng et al. · 2024

    All 12 authors

    Bonatti, Rogerio, Zhao, Dan, Bonacci, Francesco, Dupont, Dillon, Abdali, Sara, Li, Yinheng, Lu, Yadong, Wagle, Justin, Koishida, Kazuhito, Bucker, Arthur, Jang, Lawrence, Hui, Zack

  7. CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark — published result table ↗

    Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, Arvind Narayanan · 2024

  8. HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly — published result table ↗

    Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak et al. · 2024

    All 8 authors

    Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen

  9. JudgeBench: A Benchmark for Evaluating LLM-based Judges — published result table ↗

    Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang et al. · 2024

    All 8 authors

    Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica

  10. HARP: A challenging human-annotated math reasoning benchmark — published result table ↗

    Yue, Albert S., Madaan, Lovish, Moskovitz, Ted, Strouse, DJ, Singh, Aaditya K. · 2024

  11. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input — published result table ↗

    Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Jon Lipovetz, Kate Olszewska et al. · 2025

    All 26 authors

    Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Jon Lipovetz, Kate Olszewska, Lukas Haas, Michelle Liu, Nate Keating, Adam Bloniarz, Carl Saroufim, Corey Fry, Dror Marcus, Doron Kukliansky, Gaurav Singh Tomar, James Swirhun, Jinwei Xing, Lily Wang, Madhu Gurumurthy, Michael Aaron, Moran Ambar, Rachana Fellinger, Rui Wang, Zizhao Zhang, Sasha Goldshtein, Dipanjan Das

  12. MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents — published result table ↗

    Jiang, Yixing, Black, Kameron C., Geng, Gloria, Park, Danny, Zou, James, Ng, Andrew Y. et al. · 2025

    All 7 authors

    Jiang, Yixing, Black, Kameron C., Geng, Gloria, Park, Danny, Zou, James, Ng, Andrew Y., Chen, Jonathan H.

  13. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding — published result table ↗

    Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua et al. · 2025

    All 9 authors

    Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

  14. ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning — published result table ↗

    Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark et al. · 2025

    All 7 authors

    Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi

  15. BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ↗

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir et al. · 2024

    All 13 authors

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim

  16. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  17. LMCA — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  18. Holistic Evaluation of Language Models (HELM) ↗

    Stanford Center for Research on Foundation Models

  19. ARC-AGI-2 ↗

    Epoch AI

  20. Chess Puzzles ↗

    Epoch AI

  21. FrontierMath Tiers 1-3 (v2) ↗

    Epoch AI

  22. GPQA Diamond ↗

    Epoch AI

  23. MATH Level 5 ↗

    Epoch AI

  24. Mystery Game Puzzles ↗

    Epoch AI

  25. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  26. SimpleQA Verified ↗

    Epoch AI

  27. SimpleBench ↗

    Epoch AI

  28. Capabilities & benchmarking — retained external evaluation records ↗

    Epoch AI · 2026

  29. AI benchmarks & capabilities ↗

    Epoch AI

  30. GeoBench — GeoGuessr model benchmark ↗

    GeoBench

  31. Writing benchmark — incorporating mandatory story elements ↗

    lechmazur

  32. WeirdML ↗

    Håvard Tveit Ihle

  33. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  34. LiveBench — model evaluation leaderboard ↗

    LiveBench Team

  35. PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding — published result table ↗

    Chow, Wei, Mao, Jiageng, Li, Boyi, Seita, Daniel, Guizilini, Vitor, Wang, Yue · 2025

  36. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis ↗

    Fu, Chaoyou, Dai, Yuhan, Luo, Yongdong, Li, Lei, Ren, Shuhuai, Zhang, Renrui et al. · 2024

    All 21 authors

    Fu, Chaoyou, Dai, Yuhan, Luo, Yongdong, Li, Lei, Ren, Shuhuai, Zhang, Renrui, Wang, Zihan, Zhou, Chenyu, Shen, Yunhang, Zhang, Mengdan, Chen, Peixian, Li, Yanwei, Lin, Shaohui, Zhao, Sirui, Li, Ke, Xu, Tong, Zheng, Xiawu, Chen, Enhong, Shan, Caifeng, He, Ran, Sun, Xing

  37. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  38. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  39. GPQA Diamond — evaluation methodology and results ↗

    Vals AI · 2026

  40. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  41. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  42. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  43. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  44. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  45. MMMU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  46. MortgageTax — evaluation methodology and results ↗

    Vals AI · 2026

  47. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

GPT 4o Mini · GPT-4o mini · GPT-4o-mini · gpt-4o-mini