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Ollama vs Private LLM

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Ollama starts at $20, Private LLM at $4.99. Only Ollama has a free tier. Only Ollama ships a public API.

OllamaRuns open-weight language models locally from one command, with a hosted tier for larger modelsPrivate LLMRuns 140+ open-weight chat models on iPhone, iPad and Mac with no account and no cloud call

Side by side

FactOllamaPrivate LLM
CategoryModel Hosting & InferenceGeneral-purpose AI Chatbots
Pricing modelFreemiumPaid
Starts at$20 month$4.99 one_time
Public APIYesNo
PlatformsmacOS, Windows, Linux, API, WebiOS, macOS
CompanyOllama Inc.Numen Technologies Limited
Launched2023—
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Ollama

The simplest way to get an open-weight model answering on your own hardware, and its local API has become a default target that most agent frameworks already speak. The cloud tier is the practical escape hatch when a model will not fit in your RAM. What you do not get is fleet-scale serving: this is a single-node runtime, not an inference platform with autoscaling and usage metering.

Pros

  • One command pulls and runs a model, with no environment wrangling
  • Local HTTP API that most agent frameworks already support
  • Works fully offline once weights are downloaded
  • Cloud tier covers models too large for local hardware, in US, EU and Singapore regions
  • Runtime is open source under a permissive licence

Cons

  • Single-node runtime with no autoscaling or multi-tenant serving
  • Max tier signups were paused for capacity when checked
  • Local speed is capped by your own GPU or RAM

Private LLM

The whole pitch is that inference happens on your device: no account, no upload, works with the network off, paid once instead of monthly. The model catalogue is wide and tuned for Apple silicon, and the Shortcuts and system text-service hooks make it useful beyond a chat window. Local models are still meaningfully weaker than hosted frontier models, and this is Apple-only.

Pros

  • Inference is on-device: no account, no upload, works in airplane mode
  • One-time price with Family Sharing for six instead of a recurring fee
  • Wide catalogue of quantised open-weight models tuned for Apple silicon
  • Hooks into Siri, Shortcuts, x-callback-url and macOS system text services

Cons

  • Apple platforms only, with no Windows, Linux, Android or web version
  • 1.4 GB install plus model downloads, and older devices are excluded (iOS 17 and A12 or newer)
  • Local models are noticeably weaker than hosted frontier models
  • App Store rating sits at 4.1, with reviewers flagging missing chat history that the vendor says arrives in v2

Which one fits

Choose Ollama if you need

  • developers prototyping against local models
  • privacy-constrained work that cannot leave the machine
  • running an offline model behind an existing OpenAI-shaped client

Choose Private LLM if you need

  • people who want a chat assistant that never sends text off the device
  • Apple users tired of monthly assistant subscriptions
  • anyone automating text tasks through Shortcuts or Siri

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