gemma3:27B [Q4_K_M]: benchmark results

Provider: Other.

Aggregate Rating 1573 ± 50, rank #1350 of 10916 rated models, from 11 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
LLMStructBench0.74Composite score (0-1): the mean of micro-averaged key-value 97.7
LLMStructBench - Document Correctness0.52Document correctness (0-1): share of tests whose JSON object97.7
Turkish MMLU - University Entrance Exam Basic Sciences73Accuracy (%)95.7
Turkish MMLU75.06Accuracy (%)92.3
Turkish MMLU - TUS76Accuracy (%)86.2
Turkish MMLU - Driving Licence Exam85Accuracy (%)84.5
Turkish MMLU - KPSS53Accuracy (%)81
RFMC - English-Russian89.13COMET-22 (x100; document-level mean over 1,143 medical-domai73.3
RFMC - English-Japanese89.67COMET-22 (x100; document-level mean over 1,143 medical-domai63.6
RFMC - English-Chinese89.34COMET-22 (x100; document-level mean over 1,143 medical-domai50
RFMC - English-German88.05COMET-22 (x100; document-level mean over 1,143 medical-domai50

Interactive version: theaggregate.ai/model?slug=gemma3-27b-q4-k-m · How It Works · Data refreshed daily, snapshot 2026-11-08.