Individual experiment result
MuSR (DE)
DeepSeek V4 Pro DeepSeek
Accuracy reasoning off provider-internal
85.3%
Accuracy
Run details
- Date
- 2026-06-23
- Test cases
- 564
- Median latency
- 12.60s
- Total cost
- $0.74
- Avg. prompt tokens
- 1,657.8
- Avg. answer tokens
- 719.7
- Avg. reasoning tokens
- —
- 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.
Subject breakdown
| Subject | Score |
|---|---|
| murder mystery | 86.4% |
| object placements | 70.3% |
| team allocation | 88.0% |
Provenance
- Canonical model
- deepseek/deepseek-v4-pro
- Run ID
2026-06-23T13-55-55__openrouter__deepseek__deepseek-v4-pro__musr_de