German Language LLM Index
a PeerBench project

Individual experiment result

MuSR (DE)

Qwen3.8 27B (BF16) Alibaba

Accuracy reasoning off bf16
86.1%
Accuracy

Run details

Date
2026-08-15
Test cases
553
Median latency
40.69s
Total cost
Avg. prompt tokens
1,489.1
Avg. answer tokens
1,772.5
Avg. reasoning tokens
Quantization
bf16

About this benchmark

German MuSR v1.1 defect-filtered benchmark: 553 questions (11 truncated team-allocation translations excluded), generate_until cot+; primary metric accuracy.

2–5 option multiple choice translated · German translation Source ↗

Subject breakdown

Subject Score
murder mystery 88.4%
object placements 75.0%
team allocation 86.6%

Provenance

Canonical model
qwen/qwen3.8-27b
Run ID
2026-08-14T23-10-23__openai__Qwen__Qwen3.8-27B__musr_de