Tier 2

Build with DeepSeek on Orbit

Orbit exposes DeepSeek models in its multi-model router for cost-efficient generation tasks. You get strong reasoning output at a fraction of flagship pricing, while Orbit's routing keeps quality and latency consistent.

DeepSeek AI Builder

DeepSeek models slot into Orbit's router where cost-efficiency matters, giving you frontier-adjacent capability without the premium price.

In plain English

DeepSeek offers frontier-adjacent performance at a fraction of the price. Orbit slots it into the router where cost-efficiency matters.

DeepSeek AI Builder — build, chat, research, and create media in one AI workspace on Orbit
Orbit exposes DeepSeek models in its multi-model router for cost-efficient generation tasks. You get strong reasoning output at a fraction of flagship pricing, while Orbit's routing keeps quality and latency consistent.

How it works in Orbit

DeepSeek offers strong reasoning at a fraction of the cost of frontier models. Orbit builds cost-efficient AI apps — code help, analysis, and chat — with DeepSeek as a provider option.

Reasoning without the price tag

DeepSeek's R-series models reason through problems at low cost. Orbit generates the chat and task UIs that take advantage of that economics.

  • Reasoning-focused chat
  • Low-cost throughput
  • Task-based prompts

The budget-friendly default

For apps that call models thousands of times a day, model cost is a product decision. DeepSeek makes generous usage viable.

  • Cost per token matters
  • High-volume viable
  • Economics by design

Provider flexibility

Orbit's model interface lets you start on DeepSeek and graduate to other providers as needs change, without rewriting the app.

  • Swappable providers
  • Same app, new model
  • Compare in production
  1. Describe the app

    The AI feature and its volume.

  2. Build the UI

    Orbit generates the interface.

  3. Connect DeepSeek

    Add your API key.

  4. Run lean

    Ship cost-efficient AI.

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.

Run the same generation on a premium model and on DeepSeek via Orbit's router. Compare the quality-per-dollar curve.

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 DeepSeek 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

Is DeepSeek available on Orbit?

Yes — DeepSeek is one of the 150+ models in Orbit's router, typically used where cost efficiency is the priority.

Is DeepSeek's quality good enough for production apps?

DeepSeek's reasoning models are strong on coding and analysis tasks, and the cost structure makes production apps with high call volume economically viable.

Is DeepSeek reliable enough for production apps?

DeepSeek's reasoning quality is strong for the price, and Orbit treats it as a first-class provider with the same API surface as the others. It's a solid budget default; you can switch providers without code changes.