RLTasksby ulam.ai
Models / Meta

Meta / MODEL EVIDENCE

Llama 3.3 70B

16 benchmarks · 17 observations · 17 sources · released 2024-12-06

Scores at a glance

16 benchmarks · large dot: Llama 3.3 70B; small dots: closest models where reported

GPQA Diamond ↗47.44%
9.2896.4

Llama 3.3 70B · GPQA diamond · Best score (across scorers) · % ↗

MATH Level 5 ↗41.6%
3.2998.13

Llama 3.3 70B · MATH level 5 · Best score (across scorers) · % ↗

BALROG ↗23%
3.768.3

Llama 3.3 70B · Balrog · Average progress · % ↗

LMCA ↗17.52%
2.7868.26

Llama 3.3 70B · LMCA · Score · % ↗

DTBench ↗59.47%
41.6598.93

Llama 3.3 70B · DTBench · Accuracy · % ↗

LiveBench ↗50.16%
22.0882.35

Llama 3.3 70B · LiveBench · Global average · % ↗

Fortress ↗44.79%
5.7874.39

Llama 3.3 70B · Scale Labs · Risk elicitation score ↗

Closest models by score

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

2.4 percentile-point gap

3 of 4 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.

Filter comparisons to this model →

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. SciCode Benchmark | Artificial Analysis ↗

    Artificial Analysis

  2. 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

  3. 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

  4. 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

  5. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  6. LMCA — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  7. Holistic Evaluation of Language Models (HELM) ↗

    Stanford Center for Research on Foundation Models

  8. CritPt v1 ↗

    Epoch AI

  9. GPQA Diamond ↗

    Epoch AI

  10. MATH Level 5 ↗

    Epoch AI

  11. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  12. SimpleBench ↗

    Epoch AI

  13. AI benchmarks & capabilities ↗

    Epoch AI

  14. Fiction.liveBench — March 14, 2025 benchmark release ↗

    Fiction.live · 2025

  15. WeirdML ↗

    Håvard Tveit Ihle

  16. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  17. LiveBench — model evaluation leaderboard ↗

    LiveBench Team

Names used in source tables

LLaMA-3.3-70B · Llama 3.3 70B