80.0%
Exact match
Run details
- Date
- 2026-08-15
- Test cases
- 11,737
- Median latency
- 19.03s
- Total cost
- —
- Avg. prompt tokens
- 1,689.5
- Avg. answer tokens
- 1,210.1
- Avg. reasoning tokens
- —
- Quantization
- fp8
About this benchmark
German MMLU-ProX across 14 subjects; primary metric accuracy. Legacy rows have 11,759 items. Corrected v1.1 rows have 11,737 after a frozen, model-independent manifest excludes 20 duplicated-gold translation collisions, one independently reviewed ambiguous source item, and one independently confirmed notation-translation collapse; the row's item count identifies the definition.
Subject breakdown
| Subject | Score |
|---|---|
| biology | 89.9% |
| business | 85.9% |
| chemistry | 87.7% |
| computer science | 83.4% |
| economics | 85.1% |
| engineering | 74.2% |
| health | 70.9% |
| history | 69.2% |
| law | 53.8% |
| math | 93.4% |
| other | 70.2% |
| philosophy | 68.5% |
| physics | 87.7% |
| psychology | 81.8% |
Provenance
- Canonical model
- qwen/qwen3.8-27b-fp8
- Run ID
2026-08-15T16-51-00__openai__Qwen__Qwen3.8-27B-FP8__mmlu_prox_de