Mixtral_34Bx2_MoE_60B: benchmark results
cloudyu's 2x34B mixture-of-experts merging Yi-34B-based Bagel-DPO and SUS-Chat for English and Chinese; 'Mixtral' in name only. Provider: cloudyu. Released 2024-01-05. Access: Open.
Aggregate Rating 1600 ± 42, rank #1010 of 10916 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - WinoGrande | 70.8 | Accuracy (%) | 95.1 |
| Open Chinese LLM - C-Eval Semantic | 90.49 | Accuracy (%) | 94.7 |
| Open Chinese LLM - ARC Challenge | 63.99 | Accuracy (%) | 94.4 |
| Open Chinese LLM Leaderboard | 69.41 | Official Nonzero-Task Mean (%) | 93.5 |
| Open Chinese LLM - HellaSwag | 69.64 | Accuracy (%) | 92 |
| Open Chinese LLM - CMMLU | 70.88 | Accuracy (%) | 89.1 |
| Open LLM Leaderboard - MuSR | 46.25 | Score | 88.9 |
| Open LLM Leaderboard - MMLU-Pro | 47.66 | Score | 86.4 |
| Open Chinese LLM - GSM8K | 60.12 | Accuracy (%) | 84.8 |
| Open LLM Leaderboard - GPQA | 33.81 | Score | 83.7 |
| Open Chinese LLM - TruthfulQA MC | 59.94 | Accuracy (%) | 83.1 |
| Open LLM Leaderboard - BBH | 58.7 | Score | 79.9 |
Interactive version: theaggregate.ai/model?slug=mixtral-34bx2-moe-60b · How It Works · Data refreshed daily, snapshot 2026-11-08.