CodeElo ↗49 Elo
Mistral-7B-Instruct-v0.2 · CodeElo · Overall competition Elo · main comparison ↗
Mistral / MODEL EVIDENCE
Mistral-7B-Instruct-v0.2
9 benchmarks · 51 observations · 6 sources
Scores at a glance
9 benchmarks · large dot: Mistral-7B-Instruct-v0.2; small dots: closest models where reported
Mistral-7B-Instruct-v0.2 · RepoQA & LongCodeArena · RepoQA retrieval accuracy · similarity threshold 0.8 ↗
HarmBench ↗46.3%
Mistral-7b-instruct-v0.2 · HarmBench · HarmBench harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗
Mistral-7b-instruct-v0.2 · SORRY-Bench · Base harmful compliance · original prompts ↗
HumanEval+ ↗36%
Mistral-7B-Instruct-v0.2 · HumanEval+ · Pass@1 · EvalPlus · official result data ↗
MBPP+ ↗37%
Mistral-7B-Instruct-v0.2 · MBPP+ · Pass@1 · EvalPlus · official result data ↗
HumanEval ↗42.1%
Mistral-7B-Instruct-v0.2 · HumanEval · Pass@1 · EvalPlus · official result data ↗
Mistral-7B-Instruct-v0.2 · MixEval & MixEval-Hard · accuracy · original comparison ↗
1 more reported result
70% · Mistral-7B-Instruct-v0.2 · MixEval & MixEval-Hard · accuracy · original comparison · MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures ↗
BABILong ↗60%
Mistral-7b-Instruct-v0.2 · BABILong · BABILong v0 · QA1–QA5 average · 0k context · historical v0 leaderboard ↗
41 more reported results
49% · Mistral-7b-Instruct-v0.2 · 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 ↗
42% · Mistral-7b-Instruct-v0.2 · 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 ↗
56% · Mistral-7b-Instruct-v0.2 · 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 ↗
52% · Mistral-7b-Instruct-v0.2 · 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 ↗
45% · Mistral-7b-Instruct-v0.2 · 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 ↗
37% · Mistral-7b-Instruct-v0.2 · 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 ↗
92% · Mistral-7b-Instruct-v0.2 · 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 ↗
86% · Mistral-7b-Instruct-v0.2 · 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 ↗
75% · Mistral-7b-Instruct-v0.2 · 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 ↗
64% · Mistral-7b-Instruct-v0.2 · 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 ↗
63% · Mistral-7b-Instruct-v0.2 · 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 ↗
57% · Mistral-7b-Instruct-v0.2 · 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 ↗
45% · Mistral-7b-Instruct-v0.2 · 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 ↗
46% · Mistral-7b-Instruct-v0.2 · 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 ↗
34% · Mistral-7b-Instruct-v0.2 · 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 ↗
32% · Mistral-7b-Instruct-v0.2 · 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 ↗
22% · Mistral-7b-Instruct-v0.2 · 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 ↗
11% · Mistral-7b-Instruct-v0.2 · 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 ↗
9% · Mistral-7b-Instruct-v0.2 · 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 ↗
7% · Mistral-7b-Instruct-v0.2 · 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 ↗
36% · Mistral-7b-Instruct-v0.2 · 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 ↗
34% · Mistral-7b-Instruct-v0.2 · 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% · Mistral-7b-Instruct-v0.2 · 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% · Mistral-7b-Instruct-v0.2 · 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 ↗
24% · Mistral-7b-Instruct-v0.2 · 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 ↗
18% · Mistral-7b-Instruct-v0.2 · 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 ↗
12% · Mistral-7b-Instruct-v0.2 · 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 ↗
54% · Mistral-7b-Instruct-v0.2 · 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 ↗
58% · Mistral-7b-Instruct-v0.2 · 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 ↗
58% · Mistral-7b-Instruct-v0.2 · 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 ↗
60% · Mistral-7b-Instruct-v0.2 · 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 ↗
60% · Mistral-7b-Instruct-v0.2 · 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 ↗
58% · Mistral-7b-Instruct-v0.2 · 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 ↗
54% · Mistral-7b-Instruct-v0.2 · 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 ↗
70% · Mistral-7b-Instruct-v0.2 · 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 ↗
66% · Mistral-7b-Instruct-v0.2 · 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 ↗
66% · Mistral-7b-Instruct-v0.2 · 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 ↗
67% · Mistral-7b-Instruct-v0.2 · 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 ↗
69% · Mistral-7b-Instruct-v0.2 · 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% · Mistral-7b-Instruct-v0.2 · 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 ↗
67% · Mistral-7b-Instruct-v0.2 · 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.
Mixtral-8x7B-Instruct-v0.1 →Mistral
8 of 9 shared benchmark comparisons
6 of 9 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.
- RepoQA: Evaluating Long Context Code Understanding — published result table ↗
All 8 authors
Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang
- MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — published result table ↗
All 8 authors
Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
- SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal — published result table ↗
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
- 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
- Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation — published result table ↗
- 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
Mistral-7B-Instruct-v0.2 · Mistral-7b-Instruct-v0.2 · Mistral-7b-instruct-v0.2