Mistral 7B Instruct (v0.2) — benchmark results
Provider: Mistral. Released 2023-12-11. Access: Open.
Unified ELO 1339 ± 13, rank #1440 of 1776 rated models, from 148 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| AlpacaEval 1.0 | 92.78 | Win Rate (%) | 84.2 |
| Open Chinese LLM - TruthfulQA MC | 58.78 | Accuracy (%) | 78.6 |
| SpeechMap Compliance | 81.5 | % Requests Completed | 77 |
| EconLogicQA | 0.32 | Accuracy | 76.5 |
| CyberMetric | 77.09 | Accuracy (%) | 75 |
| BiGGen-Bench | 3.62 | Average Score (1-5) | 69.6 |
| Open LLM Leaderboard - IFEval | 54.96 | Score | 66.3 |
| Open CoT - LogiQA | 5.27 | CoT Gain (%) | 65.6 |
| European LLM Leaderboard - FLORES200 | 12.38 | Average FLORES200 Score | 64.6 |
| European LLM Leaderboard - FLORES200 Target | 12.57 | FLORES200 Target Score | 64.6 |
| European LLM Leaderboard - Zero-Shot Accuracy | 48.11 | Average Accuracy (%) | 63.4 |
| European LLM Leaderboard - FLORES200 Source | 12.19 | FLORES200 Source Score | 62.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.