Aliyun Bailian on Chen Kai Blog

Aliyun Bailian (5): Qwen-TTS for Multilingual Voice

Sun, 01 Mar 2026 09:00:00 +0000

The reason every Chinese-language product I’ve worked on ends up calling Qwen-TTS-Flash isn’t price — there are cheaper TTS APIs. It’s that Qwen-TTS is the only one that handles mainland Chinese dialects (Cantonese, Sichuanese, Wu) and English in the same SDK, with voices that don’t sound like a 2019 customs announcement. After about six months of using it for a marketing-video voice-over pipeline, this is what I wish someone had told me on day one.

Aliyun Bailian (4): Wanxiang Video Generation End-to-End

Sat, 28 Feb 2026 09:00:00 +0000

Wanxiang is the API that has done the most for our marketing pipeline and caused the most production surprises. The model is genuinely good — wan2.5-t2v-plus produces 720p clips that pass for an actual video team’s output most of the time — but the surface around it is async, native-protocol, has expiring URLs, and rate-limits in non-obvious ways. This article is the version of the docs that has been through six months of “why is this happening at 2am” tickets.

Aliyun Bailian (3): Qwen-Omni for Video, Audio, and Image Understanding

Fri, 27 Feb 2026 09:00:00 +0000

Of all the Bailian models, Qwen-Omni is the one that has pulled me out of the most product-roadmap holes. “Can you tell me what’s happening in this 2-minute promo video?” used to be a 3-week project involving frame extraction, captioning per frame, and a stitch step. With Qwen-Omni it is one HTTP request. But the docs are sparse on the gotchas, and there is one (streaming is mandatory) that has cost more than one team a half-day. Let’s not have that be you.

Aliyun Bailian (2): The Qwen LLM API in Production

Thu, 26 Feb 2026 09:00:00 +0000

This is the article in the series where most of the production wins live. The other models are interesting; the LLMs are what every product I have shipped on Bailian has called every minute of every day. The official Qwen API reference is dense and complete; this article is the readable companion that picks one path through it.

Pick the right Qwen variant for the workload

The Qwen family is large. Most teams overspend by defaulting to qwen-max everywhere. Most teams underspend on quality by defaulting to qwen-turbo. The right answer is “match variant to job”:

Aliyun Bailian (1): Platform Overview and First Request

Wed, 25 Feb 2026 09:00:00 +0000

If you ship anything that touches Chinese-language users, sooner or later you will end up calling a Bailian model. Qwen-Max is the cheapest sane way to get GPT-4-class Chinese understanding, the Wanxiang video models are the only production-grade text-to-video API I can buy with a Chinese invoice, and Qwen-TTS-Flash is the only TTS that handles Cantonese and Sichuanese without sounding like a customs announcement. After about a year of running these in production for an AI-marketing platform, this series is what I wish someone had handed me on day one.