Tier 1
150+ models, one router, zero lock-in
Orbit is a multi-model AI platform that routes every task to the best model for the job — Gemini for reasoning, Claude for writing, Grok for research synthesis, GPT-5 for coding — through a single unified interface.
Multi-Model AI
Orbit doesn't hardwire one provider. Its router picks models by task: fast flash models for classification, frontier models for build planning, Kimi for deep-research writing. When a provider fails, traffic falls back down a failover ladder instead of erroring out.
In plain English
Instead of betting on one AI model for everything, Orbit hires a specialist for each job — a reasoning model for hard thinking, a fast one for quick tasks, a dedicated model for images — like a studio full of specialists.
How it works in Orbit
Orbit does not commit to one model. It runs a routing layer that sends each task to the provider best suited for it, then fails over gracefully when a provider underperforms.
Task-aware routing
The router classifies each request and maps it to the right model class: frontier models for build planning, fast flash models for classification, reasoning models for deep-research writing, dedicated providers for media. The result is better answers at lower cost than a one-model-fits-all approach.
A failover ladder, not a single point of failure
Providers degrade. When the primary model errors or exceeds rate limits, traffic cascades down a failover ladder to the next healthy provider. You keep working while the router absorbs the incident.
Consistent interface across 150+ models
Every model behind the router exposes the same chat interface, tool-calling contract, and file handling. Switching providers never changes how you prompt, which makes the platform genuinely model-agnostic.
Cost and quality balanced automatically
Because routing matches task difficulty to model capability, you are not paying frontier prices for trivial calls. Budget-conscious teams get production quality without the flagship-model bill for every request.
Send a task
Ask for anything — code, writing, classification, an image, a research report.
Let the router choose
Orbit maps your task to the best model class for quality and cost.
Keep working through outages
If a provider fails, traffic fails over automatically — no error screen.
Pin a model when you want
Override the router per conversation whenever you need a specific provider.
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.
Use a single-model tool for a whole project, then watch Orbit route each step to the right model — including an automatic fallback when one degrades. One of them shrugs; the other keeps working.
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
Explore related topics
GPT-5 AI Builder
Orbit routes coding and planning work to frontier models including GPT-5, and exposes OpenAI-compatible models through its unified agent platform.
Claude AI Builder
Orbit routes writing and reasoning-heavy work to Claude models through its multi-model platform, with per-task model selection.
Gemini AI Builder
Orbit routes a large share of its generation and reasoning to Gemini models — including flash models for fast classification and vision models for screenshot-driven builds.
DeepSeek AI Builder
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.
Qwen AI Builder
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.
Grok AI Builder
Orbit routes research synthesis and build planning to Grok models through its multi-model platform. xAI's models shine at turning scattered findings into a coherent project plan and live report.
Explore more
GPT-5 AI Builder
Orbit routes coding and planning work to frontier models including GPT-5, and exposes OpenAI-compatible models through its unified agent platform.
Claude AI Builder
Orbit routes writing and reasoning-heavy work to Claude models through its multi-model platform, with per-task model selection.
Gemini AI Builder
Orbit routes a large share of its generation and reasoning to Gemini models — including flash models for fast classification and vision models for screenshot-driven builds.
DeepSeek AI Builder
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.
Qwen AI Builder
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.
Grok AI Builder
Orbit routes research synthesis and build planning to Grok models through its multi-model platform. xAI's models shine at turning scattered findings into a coherent project plan and live report.
Frequently asked questions
Which models does Orbit support?
150+ models across Gemini, Claude, GPT-5, Grok, Kimi, DeepSeek, Qwen, and image/video providers — routed per task rather than hardwired to a single vendor.
Why route between models instead of picking one?
No single model is best at everything. Routing means reasoning-heavy research uses a reasoning model, fast classification uses a flash model, and your cost and quality stay balanced automatically.
What happens when a provider fails or degrades?
Traffic falls back down a failover ladder. If the primary model errors, times out, or hits rate limits, Orbit retries on the next healthy provider instead of showing an error.
Can I choose the model myself?
Yes. Orbit routes automatically by default, but you can pin a specific model per conversation or task when you want a particular provider's behavior.
Does Orbit support image and video models too?
Yes. The media lanes route to dedicated image and video providers, so generation tasks use specialized models rather than a general-purpose LLM.