German Language LLM Index
a PeerBench project

Individual experiment result

MuSR (DE)

Muse Spark Open Meta

Accuracy reasoning on / locked provider-internal
87.9%
Accuracy

Run details

Date
2026-10-16
Test cases
553
Median latency
12.73s
Total cost
$5.26
Avg. prompt tokens
1,588
Avg. answer tokens
661.2
Avg. reasoning tokens
1,138.3
Quantization
provider-internal

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 88.0%
object placements 79.7%
team allocation 90.0%

Provenance

Canonical model
meta/muse-spark-open
Run ID
2026-10-16T11-38-00__openrouter__meta__muse-spark-open__musr_de