Individual experiment result
MuSR (DE)
DeepSeek V4 Pro 0813 DeepSeek
Accuracy reasoning off provider-internal
82.3%
Accuracy
Run details
- Date
- 2026-08-13
- Test cases
- 553
- Median latency
- 9.50s
- Total cost
- $0.67
- Avg. prompt tokens
- 1,682.4
- Avg. answer tokens
- 580.3
- 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 | 85.6% |
| object placements | 71.9% |
| team allocation | 81.6% |
Provenance
- Canonical model
- deepseek/deepseek-v4-pro-0813
- Run ID
2026-08-13T09-28-54__openrouter__deepseek__deepseek-v4-pro-0813__musr_de