This is a catalog-style overview of what Alibaba Cloud Bailian supports. It lists Qwen, Wanxiang, DeepSeek, Kimi, GLM, Llama, Baichuan and MiniMax-style access, then groups capabilities by text generation, multimodal, image, speech, video, embeddings and industry models. This page reads it as a platform taxonomy rather than a model ranking.
Alibaba Cloud Bailian supports Alibaba models such as Qwen and Wanxiang plus third-party model families, organized across text, image, speech, video, embeddings and industry tasks.
That taxonomy is useful for teams choosing where to build. A platform decision often starts with modality: text generation, visual understanding, image creation, voice, video, embeddings or industry-specific tools. Readers can map a task to a model category before comparing prices or SDKs.
| Category | Examples | What to test |
|---|---|---|
| Text | Qwen, DeepSeek, Kimi, GLM and other LLMs. | Structured output, long context and latency. |
| Image | Qwen image, Wanxiang, FLUX and editing tools. | Text rendering, edits and rights. |
| Speech | TTS, ASR and translation models. | Latency, language accuracy and noise handling. |
| Video | Text-to-video, image-to-video and editing. | Motion quality, prompt control and cost. |
This page splits text-related access into general LLMs, multimodal models and domain models such as code, math, legal or intent understanding.
That matters because teams often say they need an LLM when they actually need a task-specific route. A coding assistant, legal reader and general chatbot may all sit under text generation, but their evaluation criteria differ. For practical use, start with the output contract, not the model name.
text-to-image, image editing, product imagery, virtual models, video generation and video editing model categories.
These are high-impact categories for marketing and ecommerce. They also need stronger review. Generated assets need checking for brand safety, copyright risk, human likeness risk, text accuracy and commercial usage terms. A model catalog is not enough to prove that an output can be published.
speech synthesis, speech recognition, translation and embedding models for search, clustering, recommendation and classification.
These models often sit inside larger products where small errors scale. For speech, test accents, noise and real-time latency. For embeddings, test retrieval quality, recall, vector cost and index behavior. This makes clear that these routes need product-shaped evaluation, not only API availability.
many models and quotas, but cloud platform catalogs change quickly. Do not freeze those details as permanent advice.
This is the main editorial caution. Platform pages, free quotas, model IDs and supported features can change month to month. The page can remain useful as a category guide, but any current pricing, quota or model-name claim needs checking against official Bailian documentation before production use.
Mistake
Treating one article as a final ranking
Why it hurts
Model releases, pricing, quotas and benchmark positions can change quickly.
Better move
Use the analysis as a shortlist, then run current checks against your own workload.
Mistake
Choosing by brand instead of task
Why it hurts
A strong chat model may still be weak for long documents, coding agents, multimodal work or low-latency routes.
Better move
Define the job first, then compare models with prompts, files or media that match that job.
Mistake
Copying claims without a current verification check
Why it hurts
Benchmark numbers, context windows, API names and prices may be dated or provider-specific.
Better move
Confirm high-impact details against official docs, model cards or live provider pages.
Use this page to understand the model family, the evaluation angle and the current conversation around it. Then choose one or two realistic prompts, documents or media tasks and test whether the model behaves well in your own workflow.
These questions reflect recurring reader concerns around Chinese model knowledge, evaluation and fast-moving model releases.
This is a catalog-style overview of what Alibaba Cloud Bailian supports. It lists Qwen, Wanxiang, DeepSeek, Kimi, GLM, Llama, Baichuan and MiniMax-style access, then groups capabilities by text generation, multimodal, image, speech, video, embeddings and industry models. This page reads it as a platform taxonomy rather than a model ranking.
Use it as market and product context, then verify technical claims, pricing, quotas and release details against official pages or your own tests before making a decision.
The video gives a fast visual summary of the model story, while the written page carries the caveats, comparisons and practical checks.
SmarToken tracks public model releases, technical reports, product announcements and market signals to keep this catalog useful.
Technical claims need to be treated as dated unless they are confirmed by current official model cards, technical reports or provider announcements.
Pricing, quota, availability and benchmark details can change after the review date, so production decisions should use current vendor pages and direct workload tests.
