Anthropic / MODEL EVIDENCE

Claude 3 Opus

41 benchmarks · 61 observations · 38 sources · released 2024-02-29

Scores at a glance

41 benchmarks · large dot: Claude 3 Opus; small dots: closest models where reported

9.2896.4

Claude 3 Opus · GPQA diamond · Best score (across scorers) · % ↗

3.2998.13

Claude 3 Opus · MATH level 5 · Best score (across scorers) · % ↗

555

Claude 3 Opus · Cybench · Unguided % Solved · % ↗

29.587.3

Claude 3 Opus · MMLU · EM · % ↗

2.7868.26

Claude 3 Opus · LMCA · Score · % ↗

41.6598.93

Claude 3 Opus · DTBench · Accuracy · % ↗

22.0882.35

Claude 3 Opus · LiveBench · Global average · % ↗

VISTA ↗27.82%
15.1854.65

Claude 3 Opus · Scale Labs · Score ↗

19.6455.8

Claude 3 Opus · MathOdyssey · Overall accuracy · original model comparison ↗

34.695.7

Claude 3 Opus · BLINK · Test accuracy · 1,907 test items ↗

0.550.8

Claude-3-Opus · ComplexBench · DRFR · all constraints · RAL evaluation ↗

14.861.2

claude-3-opus · τ-Bench · Retail · pass^1 · Original tau-bench · function-calling agents ↗

2 more reported results

34.7% · claude-3-opus · τ-Bench · Airline · pass^1 · Original tau-bench · function-calling agents · $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ↗

39.5% · claude-3-opus · τ-Bench · Domain average · pass^1 · Original tau-bench · function-calling agents · $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ↗

WildBench ↗63.1 points
6.265.3

Claude 3 Opus · WildBench · WB-Score · reported comparison ↗

75.0793.4

Claude 3 Opus · WildHallucinations · WildFActScore · all entities · original evaluation ↗

7.662.5

Claude 3 Opus · SimpleQA · Correct answers · OpenAI Simple Evals · archived July 2025 ↗

71.599.3

Claude 3 Opus · HumanEval · Pass@1 · OpenAI Simple Evals · archived July 2025 ↗

6577

Claude 3 Opus · LOFT (Long-Context Frontiers in Retrieval & Reasoning) · Text Retrieval · published average · 128k context test ↗

3 more reported results

47% · Claude 3 Opus · LOFT (Long-Context Frontiers in Retrieval & Reasoning) · RAG · published average · 128k context test · Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? ↗

20% · Claude 3 Opus · LOFT (Long-Context Frontiers in Retrieval & Reasoning) · SQL · published average · 128k context test · Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? ↗

74% · Claude 3 Opus · LOFT (Long-Context Frontiers in Retrieval & Reasoning) · Many-Shot ICL · published average · 128k context test · Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? ↗

10611278

Claude 3 Opus · Chatbot Arena · Chatbot Arena Vision · English Elo · 2024-11-13 · November 13, 2024 snapshot ↗

3061

Claude 3 Opus · DarkBench · DarkScore · six-category mean · publisher website comparison ↗

6 more reported results

14% · Claude 3 Opus · DarkBench · Anthropomorphization · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

21% · Claude 3 Opus · DarkBench · Brand bias · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

15% · Claude 3 Opus · DarkBench · Harmful generation · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

66% · Claude 3 Opus · DarkBench · Sneaking · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

1% · Claude 3 Opus · DarkBench · Sycophancy · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

84% · Claude 3 Opus · DarkBench · User retention · publisher website comparison · DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data ↗

0.510.81

Claude 3 Opus · Michelangelo (Latent Structure Queries) · MRCR · cumulative mean through 128K · chart reading · Michelangelo original report · MRCR at 128K context ↗

Closest models by score

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

7.7 percentile-point gap

5 of 7 shared benchmark comparisons

12.2 percentile-point gap

7 of 7 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. 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

  2. SWE-bench: Can Language Models Resolve Real-World GitHub Issues? — published result table ↗

    Jimenez, Carlos E., Yang, John, Wettig, Alexander, Yao, Shunyu, Pei, Kexin, Press, Ofir et al. · 2023

    All 7 authors

    Jimenez, Carlos E., Yang, John, Wettig, Alexander, Yao, Shunyu, Pei, Kexin, Press, Ofir, Narasimhan, Karthik

  3. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild — published result table ↗

    Lin, Bill Yuchen, Deng, Yuntian, Chandu, Khyathi, Brahman, Faeze, Ravichander, Abhilasha, Pyatkin, Valentina et al. · 2024

    All 9 authors

    Lin, Bill Yuchen, Deng, Yuntian, Chandu, Khyathi, Brahman, Faeze, Ravichander, Abhilasha, Pyatkin, Valentina, Dziri, Nouha, Bras, Ronan Le, Choi, Yejin

  4. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — published result table ↗

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain et al. · 2024

    All 8 authors

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

  5. $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains — published result table ↗

    Yao, Shunyu, Shinn, Noah, Razavi, Pedram, Narasimhan, Karthik · 2024

  6. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? — published result table ↗

    Lee, Jinhyuk, Chen, Anthony, Dai, Zhuyun, Dua, Dheeru, Sachan, Devendra Singh, Boratko, Michael et al. · 2024

    All 19 authors

    Lee, Jinhyuk, Chen, Anthony, Dai, Zhuyun, Dua, Dheeru, Sachan, Devendra Singh, Boratko, Michael, Luan, Yi, Arnold, Sébastien M. R., Perot, Vincent, Dalmia, Siddharth, Hu, Hexiang, Lin, Xudong, Pasupat, Panupong, Amini, Aida, Cole, Jeremy R., Riedel, Sebastian, Naim, Iftekhar, Chang, Ming-Wei, Guu, Kelvin

  7. AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents — published result table ↗

    Edoardo Debenedetti, Jie Zhang, Mislav Balunović, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr · 2024

  8. 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

  9. MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data — published result table ↗

    Meng Fang, Xiangpeng Wan, Fei Lu, Fei Xing, Kai Zou · 2024

  10. Benchmarking Complex Instruction-Following with Multiple Constraints Composition — published result table ↗

    Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou et al. · 2024

    All 14 authors

    Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang

  11. WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries — published result table ↗

    Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander et al. · 2024

    All 11 authors

    Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi

  12. SysBench: Can Large Language Models Follow System Messages? — published result table ↗

    Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun et al. · 2024

    All 12 authors

    Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui

  13. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries — published result table ↗

    Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh et al. · 2024

    All 24 authors

    Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh, Hui, Jeffrey, Dikkala, Nishanth, Kazemi, Mehran, Fatemi, Bahare, Anil, Rohan, Dyer, Ethan, Shakeri, Siamak, Vij, Roopali, Mehta, Harsh, Ramasesh, Vinay, Le, Quoc, Chi, Ed, Lu, Yifeng, Firat, Orhan, Lazaridou, Angeliki, Lespiau, Jean-Baptiste, Attaluri, Nithya, Olszewska, Kate

  14. 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

  15. Are large language models superhuman chemists? — published result table ↗

    Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan et al. · 2024

    All 35 authors

    Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan, Tanya Gupta, Mara Schilling-Wilhelmi, Macjonathan Okereke, Anagha Aneesh, Amir Mohammad Elahi, Mehrdad Asgari, Juliane Eberhardt, Hani M. Elbeheiry, María Victoria Gil, Maximilian Greiner, Caroline T. Holick, Christina Glaubitz, Tim Hoffmann, Abdelrahman Ibrahim, Lea C. Klepsch, Yannik Köster, Fabian Alexander Kreth, Jakob Meyer, Santiago Miret, Jan Matthias Peschel, Michael Ringleb, Nicole Roesner, Johanna Schreiber, Ulrich S. Schubert, Leanne M. Stafast, Dinga Wonanke, Michael Pieler, Philippe Schwaller, Kevin Maik Jablonka

  16. The Claude 3 Model Family: Opus, Sonnet, Haiku ↗

    Anthropic · 2024

  17. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  18. LMCA — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  19. Holistic Evaluation of Language Models (HELM) ↗

    Stanford Center for Research on Foundation Models

  20. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models ↗

    Zhang, Andy K., Perry, Neil, Dulepet, Riya, Ji, Joey, Menders, Celeste, Lin, Justin W. et al. · 2024

    All 27 authors

    Zhang, Andy K., Perry, Neil, Dulepet, Riya, Ji, Joey, Menders, Celeste, Lin, Justin W., Jones, Eliot, Hussein, Gashon, Liu, Samantha, Jasper, Donovan, Peetathawatchai, Pura, Glenn, Ari, Sivashankar, Vikram, Zamoshchin, Daniel, Glikbarg, Leo, Askaryar, Derek, Yang, Mike, Zhang, Teddy, Alluri, Rishi, Tran, Nathan, Sangpisit, Rinnara, Yiorkadjis, Polycarpos, Osele, Kenny, Raghupathi, Gautham, Boneh, Dan, Ho, Daniel E., Liang, Percy

  21. DarkBench: Benchmarking Dark Patterns in Large Language Models — publisher leaderboard data — published result table ↗

    Esben Kran, Hieu Minh Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz · 2025

  22. Chess Puzzles ↗

    Epoch AI

  23. GPQA Diamond ↗

    Epoch AI

  24. MATH Level 5 ↗

    Epoch AI

  25. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  26. SimpleQA Verified ↗

    Epoch AI

  27. SimpleBench ↗

    Epoch AI

  28. AI benchmarks & capabilities ↗

    Epoch AI

  29. WeirdML ↗

    Håvard Tveit Ihle

  30. EnigmaEval ↗

    Scale Labs / SEAL

  31. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  32. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  33. LiveBench — model evaluation leaderboard ↗

    LiveBench Team

  34. Measuring AI Ability to Complete Long Software Tasks ↗

    METR

  35. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — published result table ↗

    Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati · 2022

  36. Simple Evals — model benchmark results ↗

    OpenAI · 2025

  37. BLINK: Multimodal Large Language Models Can See but Not Perceive — published result table ↗

    Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin et al. · 2024

    All 10 authors

    Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna

  38. Grok-1.5 Vision Preview ↗

    xAI · 2024

Names used in source tables

Claude 3 Opus · Claude-3 (Opus) · Claude-3 / Opus · Claude-3 Opus · Claude-3-Opus · Claude-3-Opus† · claude-3 / opus · claude-3-opus