Qwen 2 7B Instruct — benchmark results
Alibaba's Apache-2.0 7B Qwen2 instruct model (June 2024) handling context lengths up to 128K tokens. Provider: Alibaba. Released 2024-06-07. Access: Open.
Unified ELO 1439 ± 9, rank #1045 of 1776 rated models, from 320 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| SeaEval - Multilingual Reasoning - ZBench (Zero-Shot) | 72.73 | Accuracy (%) | 100 |
| SeaEval - Cultural Reasoning - SG-Eval v2 Open (Zero-Shot) | 56.56 | Accuracy (%) | 95.7 |
| SeaEval - Fundamental NLP Tasks - MRPC (Zero-Shot) | 78.68 | Accuracy (%) | 91.3 |
| OpenEval - BBQ | 91.39 | Exact Match (%) | 90.5 |
| SeaEval - Cultural Reasoning - CN-Eval (Zero-Shot) | 82.86 | Accuracy (%) | 87.5 |
| Open Arabic LLM - Arabic MMLU Computer Science (Middle School) | 92.59 | Accuracy (%) | 87 |
| Open Arabic LLM - Alghafa Multiple Choice Rating Sentiment NO Neutral Task | 80.08 | Accuracy (%) | 82.7 |
| LiveBench LCB Generation | 40 | Score | 82.6 |
| Open CoT - LogiQA | 6.55 | CoT Gain (%) | 82.1 |
| Open Arabic LLM - Aratrust Unfairness | 92.73 | Accuracy (%) | 82 |
| SeaEval - Multilingual Reasoning - CMMLU (Zero-Shot) | 77.28 | Accuracy (%) | 81 |
| European LLM Leaderboard - Zero-Shot Accuracy | 50.71 | Average Accuracy (%) | 80.5 |
Interactive version: theaggregate.ai/model?slug=qwen-2-7b-instruct · How the rankings work · Data refreshed daily, snapshot 2026-07-22.