Mistral / MODEL EVIDENCE

Mixtral 8x22B

12 benchmarks · 14 observations · 12 sources · released 2024-04-17

Scores at a glance

12 benchmarks · large dot: Mixtral 8x22B; small dots: closest models where reported

9.2896.4

Mixtral 8x22B · GPQA diamond · Best score (across scorers) · % ↗

3.2998.13

Mixtral 8x22B · MATH level 5 · Best score (across scorers) · % ↗

555

Mixtral 8x22B · Cybench · Unguided % Solved · % ↗

29.587.3

Mixtral 8x22B · MMLU · EM · % ↗

41.6598.93

Mixtral 8x22B · DTBench · Accuracy · % ↗

5.7874.39

Mixtral 8x22B · Scale Labs · Risk elicitation score ↗

4471.4

Mixtral 8x22B · AGIEval · Accuracy · English · few-shot ↗

14.861.2

mixtral-8x22b · τ-Bench · Retail · pass^1 · Original tau-bench · function-calling agents ↗

2 more reported results

31.6% · mixtral-8x22b · τ-Bench · Airline · pass^1 · Original tau-bench · function-calling agents · $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ↗

24.7% · mixtral-8x22b · 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 ↗

75.0793.4

Mixtral-8x22B · WildHallucinations · WildFActScore · all entities · original evaluation ↗

Closest models by score

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

13.4 percentile-point gap

3 of 3 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. $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains — published result table ↗

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

  2. 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

  3. 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

  4. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  5. Holistic Evaluation of Language Models (HELM) ↗

    Stanford Center for Research on Foundation Models

  6. 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

  7. GPQA Diamond ↗

    Epoch AI

  8. MATH Level 5 ↗

    Epoch AI

  9. AI benchmarks & capabilities ↗

    Epoch AI

  10. WeirdML ↗

    Håvard Tveit Ihle

  11. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  12. AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models — published result table ↗

    Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang et al. · 2023

    All 9 authors

    Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan

Names used in source tables

Mixtral / 8x22B · Mixtral 8x22B · Mixtral-8x22B · mixtral-8x22b