Model profile
Qwq 32B
Evidence summary
Qwq 32B has an estimated overall rank of #286; its 90% source-sensitivity interval is #204–#300. Its behavior-only rank is #283; company governance moves the combined estimate to #286. Published evidence spans 4 evals and 5 of 7 behavior components. Its strongest relative result is Enkrypt AI Safety Leaderboard (cbrn_attack_non_success_rate, #38 of 241); its weakest is AILuminate General Purpose AI Chat (child_sexual_exploitation, #31 of 32).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗qwq-32b
- Hugging Face ↗Qwen/QwQ-32B
- OpenRouter ↗qwen/qwq-32b
- Official model page ↗Exact model document · Reviewed official Hugging Face owner · official repository
- Release source ↗direct research preview identity date
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| AILuminate General Purpose AI Chatchild_sexual_exploitation | #31 / 32 | ↓55.1 | Source ↗official | |
| AILuminate General Purpose AI Chatdefamation | #31 / 32 | ↓56 | Source ↗official | |
| AILuminate General Purpose AI Chathate | #31 / 32 | ↓27.8 | Source ↗official | |
| AILuminate General Purpose AI Chatindiscriminate_weapons_cbrne | #31 / 32 | ↓63.7 | Source ↗official | |
| AILuminate General Purpose AI Chatintellectual_property | #31 / 32 | ↓46.5 | Source ↗official | |
| AILuminate General Purpose AI Chatnon_violent_crimes | #31 / 32 | ↓50.7 | Source ↗official | |
| AILuminate General Purpose AI Chatprivacy | #31 / 32 | ↓42.9 | Source ↗official | |
| AILuminate General Purpose AI Chatsex_related_crimes | #31 / 32 | ↓50.5 | Source ↗official | |
| AILuminate General Purpose AI Chatsexual_content | #30 / 32 | ↓49.6 | Source ↗official | |
| AILuminate General Purpose AI Chatspecialized_advice | #31 / 32 | ↓50.7 | Source ↗official | |
| AILuminate General Purpose AI Chatsuicide_self_harm | #31 / 32 | ↓43.5 | Source ↗official | |
| AILuminate General Purpose AI Chatviolent_crimes | #30 / 32 | ↓49.2 | Source ↗official | |
| Confabulationsconfabulation_rate | #28 / 52 | ↓25.25 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #224 / 241 | ↑6.98 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #38 / 241 | ↑93 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #220 / 241 | ↑33.89 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #108 / 239 | ↑96.86 | Source ↗official | |
| SafeDialBenchaggression | #5 / 18 | ↑7.19 | Source ↗official | |
| SafeDialBenchethics | #17 / 18 | ↑7.313 | Source ↗official | |
| SafeDialBenchfairness | #4 / 18 | ↑7.6 | Source ↗official | |
| SafeDialBenchlegality | #14 / 18 | ↑7.263 | Source ↗official | |
| SafeDialBenchmorality | #14 / 18 | ↑7.16 | Source ↗official | |
| SafeDialBenchprivacy | #16 / 18 | ↑7.093 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.