German Language LLM Index
a PeerBench project

German LLM Benchmark · Model Profile

MiMo V2.5

Xiaomi fp8 run 2026-08-11
65 .1%

avg. German score

−8.3pp below avg.

Benchmark breakdown

GermEval

80.8%

Native German named-entity recognition — identify persons, locations, organisations and misc entities in German text, emitted as JSON. Scored with seqeval micro-F1 excluding the noisy MISC class. Run reasoning-off.

Named-entity recognition native · Native German
via GermEval (via EuroEval) ↗ View run details →

SB10K

61.2%

Native German social-media sentiment classification — positive, neutral or negative. Human-annotated German text, not translated. Run reasoning-off; headline score is MCC on the predicted label.

3-class sentiment native · Native German
via SB10K (via EuroEval) ↗ View run details →

ScaLA

53.4%

Native German linguistic acceptability — does the sentence read as grammatical German (ja / nein)? Built from clean vs. minimally-corrupted German sentences. Run reasoning-off.

Binary acceptability native · Native German
via ScaLA-de (via EuroEval) ↗ View run details →

Cost & speed

$0.160 per 1,000 questions