Another data point for https://7min.ai/exodus/, where I track all relevant AI talent moves. It's the second big move from OpenAI in a week, after Max Schwarzer.
Congrats on the launch! I will give it a try. I'm running a web site with AI news, so this may land well. Do you have plans for a more premium tier with even more natural voices? I wanted to have a podcast for my newsletter but most TTS solutions don't feel natural.
Alibaba → Qwen 3.5 (397B/17B MoE, claims to beat GPT-5.2 on 80% of benchmarks)
Four of five text models are open-weight under MIT or Apache 2.0. All use MoE architectures. All under $1/M input tokens. For comparison: Claude Opus is $5 and GPT-5.2 is $1.75.
The other thing worth paying attention to: every lab is building for agents now, not chatbots. Kimi K2.5 runs 100 sub-agents in parallel. Qwen 3.5 controls apps from screenshots. ByteDance calls Seed 2.0 their "agent era" model.
Most of these scores are vendor-reported, so grain of salt. But even discounting the benchmarks by 10-15%, the pricing difference is hard to explain away.
So what actually justifies paying 5-10x more for Western models? Reliability? Safety? And honestly, how much do you trust vendor-reported benchmarks here?
Curious to see if anyone has compared the Chinese models with Opus 4.6 or GPT-5.2 to see how well they do.
It's kinda dumb to use LLMs to generate passwords, but I guess people will just do it, right? Also, vibe coding can just generate passwords without the users even knowing they exist.
Pretty cool analysis, I specially liked the graphics!