Qwen3 30B A3B profile
Qwen3 30B A3B — security & risk dashboard
Known weaknesses, safety and security advisories, and documented real-world incidents for Qwen3 30B A3B — collected automatically and re-checked every few hours, so teams building on it can see what to design around.
Last checked 22 Oct 2026
Known flaws
5
Security risks
1
Real-world incidents
0
Advisories logged
0
Security, safety & abuse risks
- Not yet confirmed by public reporting.
Known flaws & limitations
- The original checkpoint is text-only and does not natively process images or audio.
- The 131,072-token context requires YaRN configuration; native context is 32,768 tokens.
- Thinking mode generates additional reasoning tokens, increasing latency and token consumption.
- The model card warns that greedy decoding in thinking mode can degrade performance and cause endless repetitions.
- Static YaRN scaling can reduce performance on shorter inputs; the model card recommends enabling it only when needed.
Security advisories & risk updates
No risk advisories logged since this profile started being tracked. New ones appear here automatically.
What this means if you are building on it
- Native image, video or audio understanding.
- Long-document workloads exceeding 32,768 tokens without context-extension configuration.
- Strict low-latency workloads with unrestricted thinking enabled.
- Deployments that require reliable thinking-mode generation with greedy decoding.
Everything here comes from published documentation, advisories and reporting, with links to the original sources. It is not a complete vulnerability database — always check the provider's own security notices before shipping.