73.1%
Exact match
Run details
- Date
- 2026-06-11
- Test cases
- 11,759
- Median latency
- 92.81s
- Total cost
- —
- Avg. prompt tokens
- 1,705.9
- Avg. answer tokens
- 493.3
- Avg. reasoning tokens
- —
- Quantization
- bf16
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 |
|---|---|
| nothink biology | 87.0% |
| nothink business | 79.8% |
| nothink chemistry | 79.9% |
| nothink computer science | 79.3% |
| nothink economics | 78.7% |
| nothink engineering | 65.1% |
| nothink health | 64.5% |
| nothink history | 57.2% |
| nothink law | 42.8% |
| nothink math | 90.1% |
| nothink other | 60.7% |
| nothink philosophy | 60.3% |
| nothink physics | 81.9% |
| nothink psychology | 76.3% |
Provenance
- Canonical model
- google/gemma-4-12b-it
- Run ID
2026-06-11T15-08-57__openai__gemma4-12b-bf16__mmlu_prox_de_nothink