Tier 2

Build with Qwen on Orbit

Orbit exposes Qwen models in its multi-model router for multilingual and general generation tasks. Alibaba's open-weights family handles non-English content well, and Orbit wires it in alongside your other models.

Qwen AI Builder

Qwen's strong multilingual capabilities make it a useful member of Orbit's router, especially for non-English content and general tasks.

In plain English

Qwen is Alibaba's multilingual model. Orbit includes it for non-English content and general tasks, expanding what your AI can handle.

Qwen AI Builder — build, chat, research, and create media in one AI workspace on Orbit
Orbit exposes Qwen models in its multi-model router for multilingual and general generation tasks. Alibaba's open-weights family handles non-English content well, and Orbit wires it in alongside your other models.

How it works in Orbit

Qwen is Alibaba's open-weights model family, known for strong multilingual and open-source performance. Orbit apps can use Qwen through open-weights hosting or managed APIs.

Open weights, real control

Qwen models are open, which means self-hosting and fine-tuning are on the table. Orbit builds the app layer; you choose how to run the model.

  • Self-hostable model
  • Fine-tuning possible
  • Open-weights licensing

Multilingual strength

Qwen performs strongly across languages, making it a good fit for international products. Orbit generates multilingual-ready interfaces.

  • Multi-language support
  • International audiences
  • Localized content

A pragmatic provider choice

With strong quality and open licensing, Qwen suits teams that want control over their AI stack. Orbit keeps the provider swappable.

  • Provider-agnostic app
  • Self-host or API
  • Your infrastructure
  1. Describe the product

    The AI feature and languages.

  2. Build the app

    Orbit generates the interface.

  3. Run the model

    Self-host Qwen or use a managed API.

  4. Ship

    Multilingual AI, your way.

The challenge

Try it yourself

Run this one on a competitor first — then on Orbit. Same prompt, and keep score.

Build

Try this one elsewhere first.

Ask two setups to generate the same content in another language. Compare who handles it like a native.

Research

Ask a research tool to go deep on one topic.

Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.

Chat

Ask a plain chatbot the same question.

One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.

Image & video

Generate the same image, then edit it.

Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.

150+

models routed per task

1h

cloud sandbox sessions

25

tool calls per chat turn

8–14

deep research rounds

What you can do with Qwen AI Builder on Orbit

150+ model router

Every task routed to the strongest model for the job.

Failover ladder

Provider outages fall back instead of erroring.

One interface

Chat, research, build, and media on a single model layer.

Compare sibling stacks

Frequently asked questions

Can I use Qwen on Orbit?

Yes — Qwen is available among Orbit's 150+ models and is used where its multilingual strengths fit.

Can I self-host Qwen with an Orbit app?

Yes. Qwen's open weights can be self-hosted or served via API, and Orbit's model interface connects to either without changing the app.

Is Qwen's multilingual output strong enough for global apps?

Qwen is one of the best open-weights families for non-English languages, so apps that serve several regions get solid multilingual output. Orbit wires it as a standard provider, with self-hosted endpoints supported.