Llama-3.1-70B-Instruct · CodeElo · Overall competition Elo · main comparison ↗
Meta / MODEL EVIDENCE
Llama 3.1-70B-Instruct
12 benchmarks · 26 observations · 12 sources
Scores at a glance
12 benchmarks · large dot: Llama 3.1-70B-Instruct; small dots: closest models where reported
Llama3.1-70B-Instruct · INCLUDE · Original-language instructions · source dataset-card comparison ↗
llama-3.1-70b-instruct · Aider coding benchmarks · Refactoring · percent correct ↗
Llama-3.1-70B-Instruct · HalluLens · PreciseWikiQA correct answers · three-trial mean ↗
1 more reported result
40.73% · Llama-3.1-70B-Instruct · HalluLens · MixedEntities false acceptance · fabricated-entity acceptance · HalluLens: LLM Hallucination Benchmark ↗
Llama-3.1-70B-Instruct · JudgeBench · Overall pairwise accuracy · Arena-Hard judge scaffold ↗
Llama-3.1-70B-Instruct · ChemBench · Overall accuracy · published model comparison ↗
1 more reported result
64% · Llama-3.1-70B-Instruct · ChemBench · Human-evaluation subset · accuracy · published model comparison · Are large language models superhuman chemists? ↗
Llama-3.1-70B-Instruct · ProcessBench · Average F1 · original comparison ↗
Llama3.1-70B-Instruct · SysBench / RealGuardrails · instruction satisfaction rate · English-oriented models ↗
LLaMA3.1-70B-Instruct · UGPhysics · English · overall accuracy · original evaluation ↗
2 more reported results
25.51% · LLaMA3.1-70B-Instruct · UGPhysics · Chinese · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗
27.68% · LLaMA3.1-70B-Instruct · UGPhysics · Language average · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗
Llama-3.1-70B-Instruct · Commit0 · Commit0 Lite · Stage 1 · unit-test pass rate · SDE-I ↗
2 more reported results
1.83% · Llama-3.1-70B-Instruct · Commit0 · Commit0 Lite · Stage 2 · unit-test pass rate · SDE-I · Commit0: Library Generation from Scratch ↗
2.49% · Llama-3.1-70B-Instruct · Commit0 · Commit0 Lite · Stage 3 · unit-test pass rate · SDE-I · Commit0: Library Generation from Scratch ↗
Llama-3.1-70B-Instruct · HelloBench / LongWriter-6k · LongBench-Write · overall score · LongWriter report ↗
Meta-Llama-3.1-70B-Instruct · BABILong · BABILong v0 · QA1–QA5 average · 0k context · historical v0 leaderboard ↗
8 more reported results
74% · Meta-Llama-3.1-70B-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 ↗
65% · Meta-Llama-3.1-70B-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 ↗
53% · Meta-Llama-3.1-70B-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 ↗
45% · Meta-Llama-3.1-70B-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 ↗
81% · Meta-Llama-3.1-70B-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 ↗
78% · Meta-Llama-3.1-70B-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 ↗
70% · Meta-Llama-3.1-70B-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 ↗
59% · Meta-Llama-3.1-70B-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.
8 of 12 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.
- Aider refactoring benchmark ↗
- LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs — published result table ↗
All 9 authors
Bai, Yushi, Zhang, Jiajie, Lv, Xin, Zheng, Linzhi, Zhu, Siqi, Hou, Lei, Dong, Yuxiao, Tang, Jie, Li, Juanzi
- SysBench: Can Large Language Models Follow System Messages? — published result table ↗
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
- JudgeBench: A Benchmark for Evaluating LLM-based Judges — published result table ↗
All 8 authors
Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica
- Commit0: Library Generation from Scratch — published result table ↗
All 7 authors
Zhao, Wenting, Jiang, Nan, Lee, Celine, Chiu, Justin T, Cardie, Claire, Gallé, Matthias, Rush, Alexander M
- ProcessBench: Identifying Process Errors in Mathematical Reasoning — published result table ↗
All 9 authors
Zheng, Chujie, Zhang, Zhenru, Zhang, Beichen, Lin, Runji, Lu, Keming, Yu, Bowen, Liu, Dayiheng, Zhou, Jingren, Lin, Junyang
- CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings — published result table ↗
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
- UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models — published result table ↗
All 9 authors
Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang
- HalluLens: LLM Hallucination Benchmark — published result table ↗
All 8 authors
Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang, Nicola Cancedda, Pascale Fung
- Are large language models superhuman chemists? — published result table ↗
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
- INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge — published result table ↗
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
- BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard — published result table ↗
All 7 authors
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail
Names used in source tables
LLaMA3.1-70B-Instruct · Llama-3.1-70B-Instruct · Llama3.1-70B-Instruct · Meta-Llama-3.1-70B-Instruct · llama-3.1-70b-instruct