Compare / Qwen3 14B vs GPT-5.2

Qwen3 14B vs GPT-5.2

13 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.

Qwen3 14B
Alibaba · profile
GPT-5.2
OpenAI · profile
Results compared
13
Shared sources
3
BenchmarkMetricQwen3 14BGPT-5.2
Berkeley Function Calling Leaderboard (BFCL) V4reportedIrrelevance detection% correct 87.2%87.3%
Berkeley Function Calling Leaderboard (BFCL) V4reportedMemory% correct 19.6%45.8%
Berkeley Function Calling Leaderboard (BFCL) V4reportedMulti-turn tasks% correct 34.8%43.8%
Berkeley Function Calling Leaderboard (BFCL) V4reportedOverall accuracy% correct 41.0%55.9%
Berkeley Function Calling Leaderboard (BFCL) V4reportedRelevance detection% correct 87.5%75.0%
Berkeley Function Calling Leaderboard (BFCL) V4reportedSingle-turn calls (curated)% correct 89.5%81.8%
Berkeley Function Calling Leaderboard (BFCL) V4reportedSingle-turn calls (user-contributed)% correct 80.0%70.4%
Berkeley Function Calling Leaderboard (BFCL) V4reportedWeb search% correct 10.5%75.5%
UGI LeaderboardreportedRequested-length error% off the requested word count 20.0%76.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.370.40
UGI LeaderboardreportedWriting scorescore out of 100 34.849.4
Vectara Hallucination LeaderboardreportedAnswer rate% of documents 99.9%100.0%
Vectara Hallucination LeaderboardreportedHallucination rate% of summaries 5.4%8.4%

Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.