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GPT4All vs llama.cpp

GPT4All or llama.cpp? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Choice of models, API
  • Only GPT4All states: No code retained, Official SDKs, Search over your data
  • Only llama.cpp states: Command line, Self-hosted

GPT4All

GPT4All runs open-source language models locally on Windows, macOS, and Linux, with local document chat and a Python SDK.

Plans

Free

Free

  • No credit card required
  • Limited agent requests
  • Access to core Platform surfaces

Individual

  • $20 / mo.
  • Extended agent requests
  • All product surfaces except Agent API
  • Included AI usage with on-demand top-ups
  • Solo workspace

Business

  • $40 / user / mo.
  • $20 included AI usage per seat
  • Project delivery
  • File integrations (Autodesk, Bentley, SharePoint, and more)
  • Centralized team billing and administration
  • Usage analytics and reporting
  • Org-wide privacy controls

Enterprise

Price on request

  • Pooled usage commits
  • Invoice / PO billing
  • SCIM seat management
  • Audit logs and compliance reporting
  • Multi-region data hosting (EU, AU, US, UK)
  • Priority support and dedicated CSM

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Choice of models — “support for thousands of models” source
  • No code retained — “GPT4All delivers private, high-performance AI right on your device—no cloud required, no data leaves your machine.” source
  • API — “GPT4All API Server” source
  • Official SDKs — “GPT4All Python SDK” source
  • Search over your data — “Nomic's embedding models can bring information from your local documents and files into your chats.” source

Latest updates

About GPT4All

llama.cpp

Open-source C/C++ software for running large language and vision-language models locally or in the cloud.

Plans

Free

Free

  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month
  • 500MB of Packages storage
  • Issues & Projects
  • Community support

Team

  • $4 per user/month
  • Access to GitHub Codespaces
  • Repository rules
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • Required reviewers

Enterprise

  • Starting at $21 per user/month
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Repository rules

Prices checked 2026-09-24 on the maker’s page.

Capabilities

  • Command line — “llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF” source
  • Choice of models — “llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF” source
  • Self-hosted — “locally and in the cloud.” source
  • API — “Launch OpenAI-compatible API server” source

Latest updates

  • b11160

    Adds Vulkan int8 cooperative-matrix quantized matmul for AMD RDNA3 and RDNA4, including q8_0, q4_1, q5_0, and q5_1.

  • b11159

    Handles misalignment in conv_2d and conv_3d.

  • b11158
About llama.cpp