Tier 2
Build with Gemini on Orbit
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.
Gemini AI Builder
Gemini is a workhorse in Orbit's router: flash models handle fast intent classification, and vision models drive screenshot-to-app builds by analyzing attached images.
In plain English
Gemini is a Google workhorse. Orbit uses its flash models for instant classification, vision models for screenshot-to-app builds, and frontier models for code.
How it works in Orbit
Gemini brings Google-scale multimodal ability — text, images, and audio in one model. Orbit builds apps that use Gemini's strengths: vision analysis, search-grounded answers, and media understanding.
Multimodal in one call
Gemini accepts images alongside text, which powers vision features. Orbit generates upload UIs and analysis flows that pass media to the model.
- Image upload UI
- Vision analysis
- Mixed-media prompts
Google-scale grounding
Gemini's access to Google Search grounding suits recommendation and research apps. Orbit structures the queries and displays grounded answers with sources.
- Search-grounded answers
- Source links in UI
- Research flows
Fast, integrated, global
Gemini's speed and availability make it a strong default for high-volume features. Orbit's provider interface keeps alternatives ready.
- High-volume friendly
- Provider-swappable
- Global availability
Describe the feature
Vision, grounding, or chat.
Generate the UI
Upload and results screens.
Wire Gemini
Connect your Google AI key.
Ship
Multimodal features live.
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.
Screenshot an app and hand it to two builders. Compare who actually reads the image and who just guesses at the design.
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 Gemini 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
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.
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.
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
How does Orbit use Gemini?
Fast flash models classify intents in milliseconds, vision models read screenshots for clone builds, and frontier Gemini models power code generation and deep research.
Does Gemini support image input on Orbit?
Orbit generates the media-upload interface and passes images with prompts to the model, which is where Gemini's multimodal ability shines.
Can I use Gemini for image understanding in my app?
Yes — Gemini's multimodal input handles text plus images in a single call, which Orbit wires for screenshot analysis, visual QA, and image-caption features straight out of the generated app.