Codesota · Models · Gemma-2-9bGoogle7 results · 1 benchmarks
Model card

Gemma-2-9b.

Googleopen-source
§ 02 · Benchmarks

Every benchmark Gemma-2-9b has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01PLCCNatural Language Processing · Polish Cultural Competencygrammar38.0%#147/165—source ↗
02PLCCNatural Language Processing · Polish Cultural Competencyvocabulary30.0%#148/165—source ↗
03PLCCNatural Language Processing · Polish Cultural Competencyculture-and-tradition23.0%#151/165—source ↗
04PLCCNatural Language Processing · Polish Cultural Competencyart-and-entertainment19.0%#152/165—source ↗
05PLCCNatural Language Processing · Polish Cultural Competencyaverage29.2%#152/165—source ↗
06PLCCNatural Language Processing · Polish Cultural Competencygeography30.0%#153/165—source ↗
07PLCCNatural Language Processing · Polish Cultural Competencyhistory35.0%#156/165—source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where Gemma-2-9b actually performs.

Natural Language Processing
1
benchmark
avg rank #151.3
§ 05 · Related models

Other Google models scored on Codesota.

Gemini 1.5 Pro
21 results
Gemini 2.5 Pro
16 results
Gemini 3 Pro
Undisclosed params · 13 results
Gemini-3.1-Pro
11 results
Gemma-3-27b
27B params · 11 results
Gemma 3 (27B, IT)
9 results
Gemma-2-27b-it
9 results
gemma-3-12b-it
9 results
§ 06 · Sources & freshness

Where these numbers come from.

sdadas/PLCC
7
results
7 of 7 rows marked verified.