Meta / MODEL EVIDENCE

Llama 3.1-8B-Instruct

17 benchmarks · 32 observations · 15 sources

Scores at a glance

17 benchmarks · large dot: Llama 3.1-8B-Instruct; small dots: closest models where reported

211578

Llama-3.1-8B-Instruct · CodeElo · Overall competition Elo · main comparison ↗

38.670.6

Llama-3.1-8B-Instruct · INCLUDE · Original-language instructions · source dataset-card comparison ↗

8.7352.59

Llama-3.1-8B-Instruct · HalluLens · PreciseWikiQA correct answers · three-trial mean ↗

1 more reported result

19.78% · Llama-3.1-8B-Instruct · HalluLens · MixedEntities false acceptance · fabricated-entity acceptance · HalluLens: LLM Hallucination Benchmark ↗

1.889

Llama3.1-8B-instruct · HumanEval+ · Pass@1 · EvalPlus · official result data ↗

7.580.2

Llama3.1-8B-instruct · MBPP+ · Pass@1 · EvalPlus · official result data ↗

2.496.3

Llama3.1-8B-instruct · HumanEval · Pass@1 · EvalPlus · official result data ↗

33.1480.86

Llama-3.1-8B-Instruct · JudgeBench · Overall pairwise accuracy · Arena-Hard judge scaffold ↗

ProcessBench ↗5.1 F1 points
5.187.9

Llama-3.1-8B-Instruct · ProcessBench · Average F1 · original comparison ↗

5.3657.16

LLaMA3.1-8B-Instruct · UGPhysics · English · overall accuracy · original evaluation ↗

2 more reported results

10.25% · LLaMA3.1-8B-Instruct · UGPhysics · Chinese · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗

12.45% · LLaMA3.1-8B-Instruct · UGPhysics · Language average · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗

2799.36

Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 0k context · historical v0 leaderboard ↗

8 more reported results

66% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

60% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

49% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

39% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

68% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

66% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

62% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

56% · Meta-Llama-3.1-8B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

Closest models by score

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

There are not enough shared scored settings to identify close comparisons reliably.

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. 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

  3. 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

  4. 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

  5. Commit0: Library Generation from Scratch — published result table ↗

    Zhao, Wenting, Jiang, Nan, Lee, Celine, Chiu, Justin T, Cardie, Claire, Gallé, Matthias et al. · 2024

    All 7 authors

    Zhao, Wenting, Jiang, Nan, Lee, Celine, Chiu, Justin T, Cardie, Claire, Gallé, Matthias, Rush, Alexander M

  6. ProcessBench: Identifying Process Errors in Mathematical Reasoning — published result table ↗

    Zheng, Chujie, Zhang, Zhenru, Zhang, Beichen, Lin, Runji, Lu, Keming, Yu, Bowen et al. · 2024

    All 9 authors

    Zheng, Chujie, Zhang, Zhenru, Zhang, Beichen, Lin, Runji, Lu, Keming, Yu, Bowen, Liu, Dayiheng, Zhou, Jingren, Lin, Junyang

  7. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings — published result table ↗

    Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang et al. · 2025

    All 17 authors

    Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin

  8. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models — published result table ↗

    Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang et al. · 2025

    All 9 authors

    Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

  9. BIG-Bench Extra Hard — published result table ↗

    Kazemi, Mehran, Fatemi, Bahare, Bansal, Hritik, Palowitch, John, Anastasiou, Chrysovalantis, Mehta, Sanket Vaibhav et al. · 2025

    All 20 authors

    Kazemi, Mehran, Fatemi, Bahare, Bansal, Hritik, Palowitch, John, Anastasiou, Chrysovalantis, Mehta, Sanket Vaibhav, Jain, Lalit K., Aglietti, Virginia, Jindal, Disha, Chen, Peter, Dikkala, Nishanth, Tyen, Gladys, Liu, Xin, Shalit, Uri, Chiappa, Silvia, Olszewska, Kate, Tay, Yi, Tran, Vinh Q., Le, Quoc V., Firat, Orhan

  10. HalluLens: LLM Hallucination Benchmark — published result table ↗

    Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang et al. · 2025

    All 8 authors

    Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang, Nicola Cancedda, Pascale Fung

  11. Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs — published result table ↗

    Gulati, Aryan, Miranda, Brando, Chen, Eric, Xia, Emily, Fronsdal, Kai, Dumont, Bruno et al. · 2025

    All 8 authors

    Gulati, Aryan, Miranda, Brando, Chen, Eric, Xia, Emily, Fronsdal, Kai, Dumont, Bruno, Obbad, Elyas, Koyejo, Sanmi

  12. 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

  13. Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation — published result table ↗

    Liu, Jiawei, Xia, Chunqiu Steven, Wang, Yuyao, Zhang, Lingming · 2023

  14. INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge — published result table ↗

    Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh et al. · 2024

    All 59 authors

    Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzemiński, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut

  15. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard — published result table ↗

    Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom et al. · 2024

    All 7 authors

    Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail

Names used in source tables

LLaMA3.1-8B-Instruct · Llama 3.1 8b Instruct · Llama-3.1-8B Instruct · Llama-3.1-8B-Instruct · Llama3.1-8B-Instruct · Llama3.1-8B-instruct · Meta-Llama-3.1-8B-Instruct · llama-3.1-8b-instruct