Codesota · Models · Qwen/Qwen2.5-14B-InstructQwen17 results · 3 benchmarks
Model card

Qwen/Qwen2.5-14B-Instruct.

Qwenopen-weights14.8B params
§ 02 · Benchmarks

Every benchmark Qwen/Qwen2.5-14B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench65.2%#1/299source ↗
02Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in89.1%#2/490source ↗
03Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score69.2%#22/101source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele90.6%#27/490source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions3.3%#31/93source ↗
06CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment3.9%#34/93source ↗
07CPTU-BenchNatural Language Processing · Polish Text Understandingaverage3.5%#37/93source ↗
08CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology3.4%#40/93source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc57.1%#40/490source ↗
10CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.6%#45/93source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage59.9%#76/491source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative53.8%#87/489source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd32.3%#102/490source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk61.0%#107/489source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc75.0%#116/490source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book53.3%#244/337source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book80.7%#292/489source ↗
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 Qwen/Qwen2.5-14B-Instruct actually performs.

Natural Language Processing
3
benchmarks
avg rank #76.6
§ 05 · Related models

Other Qwen models scored on Codesota.

Qwen3-VL-235B-A22B-Instruct
7 results · 1 SOTA
Qwen3-VL-235B-A22B-Thinking
7 results
Qwen3-VL-8B-Instruct
7 results
Qwen3-Coder-Next
5 results
QwQ-32B
0 results
QwQ-32B-Preview
0 results
Qwen-3.7-Max
0 results
Qwen/Qwen1.5-72B-Chat
72.3B params · 0 results
§ 06 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
17 of 17 rows marked verified.