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Models / Mistral

Mistral / MODEL EVIDENCE

Mixtral-8x7B-Instruct-v0.1

9 benchmarks · 51 observations · 7 sources

Scores at a glance

9 benchmarks · large dot: Mixtral-8x7B-Instruct-v0.1; small dots: closest models where reported

CodeElo ↗98 Elo
211578

Mixtral-8x7B-Instruct-v0.1 · CodeElo · Overall competition Elo · main comparison ↗

RepoQA & LongCodeArena ↗68%
2.290.6

Mixtral-8x7B-Instruct-v0.1 · RepoQA & LongCodeArena · RepoQA retrieval accuracy · similarity threshold 0.8 ↗

HarmBench ↗47.3%
0.865.8

Mixtral-8x7B-Instruct-v0.1 · HarmBench · HarmBench harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗

HumanEval+ ↗39.6%
1.889

Mixtral-8x7B-Instruct-v0.1 · HumanEval+ · Pass@1 · EvalPlus · official result data ↗

MBPP+ ↗49.7%
7.580.2

Mixtral-8x7B-Instruct-v0.1 · MBPP+ · Pass@1 · EvalPlus · official result data ↗

HumanEval ↗45.1%
2.496.3

Mixtral-8x7B-Instruct-v0.1 · HumanEval · Pass@1 · EvalPlus · official result data ↗

ForecastBench ↗58.2 Brier index
46.467

mixtral-8x7b-instruct-v0.1† · Overall difficulty-adjusted Brier index ↗

BABILong ↗65%
2799.36

Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1–QA5 average · 0k context · historical v0 leaderboard ↗

41 more reported results

55% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

46% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

63% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

60% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

50% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

40% · Mixtral-8x7B-Instruct-v0.1 · 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 ↗

99% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

92% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

84% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

77% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

65% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

53% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

49% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA1 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

58% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

51% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

46% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

35% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

27% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

18% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

14% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA2 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

34% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

32% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

31% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

30% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

27% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

29% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

24% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA3 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

55% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

60% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

59% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

61% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

63% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

61% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

58% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA4 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

80% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

79% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

80% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

73% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

66% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

67% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

56% · Mixtral-8x7B-Instruct-v0.1 · BABILong · BABILong v0 · QA5 · 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.

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. RepoQA: Evaluating Long Context Code Understanding — published result table ↗

    Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang et al. · 2024

    All 8 authors

    Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang

  2. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — published result table ↗

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain et al. · 2024

    All 8 authors

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

  3. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal — published result table ↗

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang et al. · 2024

    All 16 authors

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

  4. 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

  5. Forecastbench — methodology and published results ↗

    Epoch AI · 2026

  6. 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

  7. 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

Mixtral-8x7B-Instruct-v0.1 · mixtral-8x7b-instruct-v0.1†