Model card
Qwen2.5-32B-Instruct.
Qwenopen-source32.8B params
§ 01 · Benchmarks
Every benchmark Qwen2.5-32B-Instruct has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 4.0% | #9 | — | source ↗ |
| 02 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 91.9% | #11 | — | source ↗ |
| 03 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 63.0% | #11 | — | source ↗ |
| 04 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 80.6% | #13 | — | source ↗ |
| 05 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 71.2% | #15 | — | source ↗ |
| 06 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 3.6% | #22 | — | source ↗ |
| 07 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 3.8% | #23 | — | source ↗ |
| 08 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 86.3% | #24 | — | source ↗ |
| 09 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 37.5% | #26 | — | source ↗ |
| 10 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 3.8% | #41 | — | source ↗ |
| 11 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 3.6% | #45 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 67.9% | #45 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 61.2% | #68 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 73.3% | #386 | — | 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.
§ 02 · Strengths by area
Where Qwen2.5-32B-Instruct actually performs.
§ 04 · Related models
Other Qwen models scored on Codesota.
QwQ-32B
0 results
QwQ-32B-Preview
0 results
Qwen/Qwen2.5-0.5B-Instruct
0.49B params · 0 results
Qwen/Qwen3-14B non-thinking (API)
14B params · 0 results
Qwen/Qwen3-235B-A22B non-thinking (API)
235B params · 0 results
Qwen/Qwen3-30B-A3B non-thinking (API)
30B params · 0 results
Qwen/Qwen3-32B non-thinking (API)
32B params · 0 results
Qwen/Qwen3-8B non-thinking (API)
8B params · 0 results
§ 05 · Sources & freshness
Where these numbers come from.
speakleash/open_pl_llm_leaderboard
8
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
14 of 14 rows marked verified.