vLLM vs Dispatch

A side-by-side comparison to help you choose the right tool.

vLLM scores higher overall (88/100)

But the best choice depends on your specific needs. Compare below.

Pricing
Open-source project; infrastructure costs depend on your deployment.
Free plan
Yes
Best for
Infra teams serving models at scale, Developers optimizing GPU utilization, Organizations running their own inference stack
Platforms
linux, api
API
Yes
Languages
en
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

Choose vLLM if:

  • You are Infra teams serving models at scale
  • You are Developers optimizing GPU utilization
  • You are Organizations running their own inference stack
  • You want to start free
Read vLLM review →

Choose 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
Read Dispatch review →

FAQ

What is the difference between vLLM and Dispatch?
vLLM is a high-performance open-source inference and serving engine for large language models, built for throughput and efficiency. 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, vLLM or Dispatch?
vLLM: Open-source project; infrastructure costs depend on your deployment.. Dispatch: Research preview rolling out to supported Claude paid plans; no separate standalone price.. vLLM has a free plan.
Who is vLLM best for?
vLLM is best for Infra teams serving models at scale, Developers optimizing GPU utilization, Organizations running their own inference stack.
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.