German Language LLM Index
a PeerBench project

Individual experiment result

GermEval NER (DE)

Qwen3.5 9B Alibaba

Micro-F1 excluding MISC reasoning off bf16
72.6%
Micro-F1 excluding MISC

Run details

Date
2026-06-11
Test cases
1,024
Median latency
11.77s
Total cost
$0.12
Avg. prompt tokens
1,154.3
Avg. answer tokens
26.9
Avg. reasoning tokens
Quantization
bf16

About this benchmark

Native German named-entity recognition (person/location/org/misc) emitted as JSON; seqeval micro-F1 excluding MISC.

Named-entity recognition native · Native German Source ↗

Provenance

Canonical model
qwen/qwen3.5-9b
Run ID
2026-06-11T19-56-46__openai__qwen35-9b-bf16__germeval_de