81.6%
Accuracy
Run details
- Date
- 2026-06-11
- Test cases
- 564
- Median latency
- 195.50s
- Total cost
- —
- Avg. prompt tokens
- 1,477.9
- Avg. answer tokens
- 707.4
- 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.
Subject breakdown
| Subject | Score |
|---|---|
| murder mystery | 85.6% |
| object placements | 79.7% |
| team allocation | 78.0% |
Provenance
- Canonical model
- google/gemma-4-12b-it
- Run ID
2026-06-11T14-52-24__openai__gemma4-12b-bf16__musr_de