LobeWork InsightsLocal and cloud models solve different problems. A useful workflow chooses between them based on privacy, capability, speed, cost, and connectivity.
When a local model fits
A supported local model can be useful when:
- material should remain on the device,
- internet access is unavailable or intentionally disabled,
- the task is repetitive and does not need the strongest hosted model,
- you want predictable infrastructure costs,
- you are testing prompts against a private workspace.
When a cloud model fits
A cloud provider may be better when:
- the task needs stronger reasoning or multimodal capability,
- the project requires a provider-specific tool,
- speed is more important than local hardware limits,
- the context is approved for that provider.
The important control
Before sending content, review the destination and the selected project material. Privacy depends on what you send, where you send it, and the provider settings attached to that route.
A blended workflow
Use local models for private drafting, classification, or early exploration. Route approved tasks to a cloud model when its capability adds meaningful value. Capture both results back into the same project record.