llama.cpp vs Dispatch
A side-by-side comparison to help you choose the right tool.
90
llama.cpp scores higher overall (90/100)
But the best choice depends on your specific needs. Compare below.
| Feature | llama.cpp | Dispatch |
|---|---|---|
| Our score | 90 | 79 |
| Pricing | Open-source project; no license fee for the runtime itself. | Research preview rolling out to supported Claude paid plans; no separate standalone price. |
| Free plan | Yes | No |
| Best for | Developers and hobbyists running models locally, Privacy-conscious users who want offline inference, Teams prototyping on laptops or edge devices | Users who want to kick off work from mobile and receive finished outputs later, Power users of Claude Desktop and mobile together, Early adopters of cross-device agent workflows |
| Platforms | mac, windows, linux, api | ios, android, mac, windows |
| API | Yes | No |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Visit site |
- Pricing
- Open-source project; no license fee for the runtime itself.
- Free plan
- Yes
- Best for
- Developers and hobbyists running models locally, Privacy-conscious users who want offline inference, Teams prototyping on laptops or edge devices
- Platforms
- mac, windows, linux, api
- API
- Yes
- Languages
- en
Dispatch
79
- Pricing
- Research preview rolling out to supported Claude paid plans; no separate standalone price.
- Free plan
- No
- Best for
- Users who want to kick off work from mobile and receive finished outputs later, Power users of Claude Desktop and mobile together, Early adopters of cross-device agent workflows
- Platforms
- ios, android, mac, windows
- API
- No
- Languages
- en
90Choose llama.cpp if:
- You are Developers and hobbyists running models locally
- You are Privacy-conscious users who want offline inference
- You are Teams prototyping on laptops or edge devices
- You want to start free
79Choose Dispatch if:
- You are Users who want to kick off work from mobile and receive finished outputs later
- You are Power users of Claude Desktop and mobile together
- You are Early adopters of cross-device agent workflows
FAQ
- What is the difference between llama.cpp and Dispatch?
- llama.cpp is the go-to open-source runtime for running many local llms on consumer hardware, especially via gguf models. Dispatch is cowork's task-dispatch capability for assigning claude jobs from phone or desktop and having it work through your desktop setup.
- Which is cheaper, llama.cpp or Dispatch?
- llama.cpp: Open-source project; no license fee for the runtime itself.. Dispatch: Research preview rolling out to supported Claude paid plans; no separate standalone price.. llama.cpp has a free plan.
- Who is llama.cpp best for?
- llama.cpp is best for Developers and hobbyists running models locally, Privacy-conscious users who want offline inference, Teams prototyping on laptops or edge devices.
- Who is Dispatch best for?
- Dispatch is best for Users who want to kick off work from mobile and receive finished outputs later, Power users of Claude Desktop and mobile together, Early adopters of cross-device agent workflows.