Llama 3.3 70B Instruct · Scale Labs · Score ↗
Meta / MODEL EVIDENCE
Llama 3.3 70B Instruct
7 benchmarks · 20 observations · 7 sources
Scores at a glance
7 benchmarks · large dot: Llama 3.3 70B Instruct; small dots: closest models where reported
Llama-3.3-70B-Instruct · PolyMath · PolyMath-Top · Mean accuracy across the published languages ↗
3 more reported results
7.3% · Llama-3.3-70B-Instruct · PolyMath · PolyMath-High · Mean accuracy across the published languages · PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts ↗
16.8% · Llama-3.3-70B-Instruct · PolyMath · PolyMath-Medium · Mean accuracy across the published languages · PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts ↗
64.2% · Llama-3.3-70B-Instruct · PolyMath · PolyMath-Low · Mean accuracy across the published languages · PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts ↗
llama-3.3-70b-instruct · Aider coding benchmarks · Refactoring · percent correct ↗
Llama-3.3-70B-Instruct · HalluLens · PreciseWikiQA correct answers · three-trial mean ↗
1 more reported result
66.86% · Llama-3.3-70B-Instruct · HalluLens · MixedEntities false acceptance · fabricated-entity acceptance · HalluLens: LLM Hallucination Benchmark ↗
Llama-3.3-70B-Instruct · ProcessBench · Average F1 · original comparison ↗
LLaMA3.3-70B-Instruct · UGPhysics · English · overall accuracy · original evaluation ↗
2 more reported results
26.07% · LLaMA3.3-70B-Instruct · UGPhysics · Chinese · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗
30.97% · LLaMA3.3-70B-Instruct · UGPhysics · Language average · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗
Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Execution pass@1 · baseline ReAct · three runs ↗
7 more reported results
11.5% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Search pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
1.7% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Ambiguity pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
1.9% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Adaptability pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
0.4% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Time pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
3.8% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Noise pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
4.6% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Agent2Agent pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
4.4% · Llama 3.3 70B Instruct · GAIA-2 · Gaia2 full · Overall pass@1 · baseline ReAct · three runs · Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ↗
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.
- Aider refactoring benchmark ↗
- 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
- 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
- PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts — published result table ↗
All 16 authors
Yiming Wang, Pei Zhang, Jialong Tang, Haoran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou
- Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments — published result table ↗
All 24 authors
Froger, Romain, Andrews, Pierre, Bettini, Matteo, Budhiraja, Amar, Cabral, Ricardo Silveira, Do, Virginie, Garreau, Emilien, Gaya, Jean-Baptiste, Laurençon, Hugo, Lecanu, Maxime, Malkan, Kunal, Mekala, Dheeraj, Ménard, Pierre, Bertran, Gerard Moreno-Torres, Piterbarg, Ulyana, Plekhanov, Mikhail, Rita, Mathieu, Rusakov, Andrey, Vorotilov, Vladislav, Wang, Mengjue, Yu, Ian, Benhalloum, Amine, Mialon, Grégoire, Scialom, Thomas
- Scale Labs — evaluation methodology and results ↗
Names used in source tables
LLaMA3.3-70B-Instruct · Llama 3.3 70B Instruct · Llama-3.3-70B-Instruct · llama-3.3-70b-instruct