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 2024-06-04. Access: Open.
Unified ELO 1518 ± 1, rank #610 of 1392 rated models, from 107 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - GSM8K | 69.29 | Accuracy (%) | 94.2 |
| Open Chinese LLM Leaderboard | 68.71 | Average Score (%) | 92.9 |
| Open Chinese LLM - WinoGrande | 70.01 | Accuracy (%) | 91.5 |
| Enkrypt AI - Safety Risk | 18.97 | Risk Score | 88.5 |
| Open Chinese LLM - C-Eval Semantic | 88.44 | Accuracy (%) | 88.1 |
| Open Chinese LLM - HellaSwag | 68.48 | Accuracy (%) | 88.1 |
| Open Chinese LLM - ARC Challenge | 59.47 | Accuracy (%) | 84.7 |
| Open LLM Leaderboard - MMLU-Pro | 39.73 | Score | 84.7 |
| Open Chinese LLM - CMMLU | 69.03 | Accuracy (%) | 81.9 |
| MERA - PARus | 91.6 | Accuracy (%) | 81.1 |
| Open LLM Leaderboard - GPQA | 10.85 | Score | 81 |
| Open LLM Leaderboard - BBH | 41.79 | Score | 80.9 |
Interactive version: theaggregate.ai/model?slug=qwen-2-57b-a14b-instruct · How It Works · Data refreshed daily, snapshot 2026-09-05.