Codesota · Models · Qwen/Qwen2.5-32B-InstructQwen17 results · 3 benchmarks
Model card

Qwen/Qwen2.5-32B-Instruct.

Qwenopen-weights32.8B params
§ 02 · Benchmarks

Every benchmark Qwen/Qwen2.5-32B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc63.1%#5/490source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology4.0%#9/93source ↗
03Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative60.8%#9/489source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench63.0%#11/299source ↗
05Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele91.9%#11/490source ↗
06Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc80.6%#13/490source ↗
07Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score71.2%#15/101source ↗
08CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions3.6%#22/93source ↗
09CPTU-BenchNatural Language Processing · Polish Text Understandingaverage3.8%#23/93source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in86.3%#24/490source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd37.5%#26/490source ↗
12CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment3.8%#41/93source ↗
13CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.6%#45/93source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk67.9%#45/489source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage61.2%#68/491source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book50.5%#271/337source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book73.3%#386/489source ↗
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/Qwen2.5-32B-Instruct actually performs.

Natural Language Processing
3
benchmarks
avg rank #60.2
§ 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.