Qwen 2 57B A14B Instruct: benchmark results
Alibaba's Apache-2.0 MoE instruct model from Qwen2 (June 2024) with 57B total and 14B active parameters and 64K context. Provider: Alibaba. Released 2024-06-06. Access: Open.
Aggregate Rating 1512 ± 16, rank #748 of 1656 rated models, from 143 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Portuguese LLM - ASSIN2 RTE | 94.93 | Macro F1 (%) | 99.6 |
| Open Chinese LLM - GSM8K | 69.29 | Accuracy (%) | 94.2 |
| Open Portuguese LLM - FaQuAD NLI | 81.58 | Macro F1 (%) | 92.4 |
| Open Chinese LLM - WinoGrande | 70.01 | Accuracy (%) | 91.6 |
| Open Chinese LLM Leaderboard | 68.71 | Official Nonzero-Task Mean (%) | 91.1 |
| Open Portuguese LLM - OAB Exams | 57.36 | Accuracy (%) | 90.7 |
| Open Portuguese LLM - ENEM | 76.63 | Accuracy (%) | 90.4 |
| Enkrypt AI - Safety Risk | 18.97 | Risk Score | 89.1 |
| Open Chinese LLM - C-Eval Semantic | 88.45 | Accuracy (%) | 88.2 |
| Open Chinese LLM - HellaSwag | 68.48 | Accuracy (%) | 88.2 |
| Open Portuguese LLM - BLUEX | 65.23 | Accuracy (%) | 86.2 |
| Open Chinese LLM - ARC Challenge | 59.47 | Accuracy (%) | 84.8 |
Interactive version: theaggregate.ai/model?slug=qwen-2-57b-a14b-instruct · How It Works · Data refreshed daily, snapshot 2026-10-20.