VQV Signal
According to a post on X by @ArtificialAnlys, Artificial Analysis found that Qwen3.8 27B averages about 1,030 words per response on AA-PersonalityBench. That is roughly six times the 174 words GPT-6 Sol averages on the same questions. The post names K2 Horizon and Qwen3.8 Max as other long responders, while GPT-family models dominate the short end.
According to a post on X by @ArtificialAnlys, Artificial Analysis found that Qwen3.8 27B averages about 1,030 words per response on AA-PersonalityBench. That is roughly six times the 174 words GPT-6 Sol averages on the same questions. The post names K2 Horizon and Qwen3.8 Max as other long responders, while GPT-family models dominate the short end.
AI-assisted summary based on the listed source.
On AA-PersonalityBench, Artificial Analysis finds Qwen3.8 27B averages about 1,030 words per response—roughly 6× GPT-6 Sol’s 174 words—on the same questions. Other long responders include K2 Horizon and Qwen3.8 Max; GPT-family models dominate the short end. Why it matters: Reply-length defaults still diverge...
Developers and businesses building products on these models may see differences in both user experience and cost, since reply length affects how much text is generated at scale. The post says reply-length defaults still diverge enough to change those outcomes. Readers should watch for any further length data from Artificial Analysis before drawing broader conclusions.
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