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llama.cpp vs GPT4All: license, pricing and features compared (October 2026)

llama.cpp and GPT4All are both listed under Local LLMs and model platforms. Pricing model: llama.cpp is "Free and open source"; GPT4All is "Free". GPT4All's repository had its last push on May 27, 2025, 516 days before we checked. llama.cpp is the better fit for: developers embedding local inference. GPT4All is the better fit for: people who want a simple private desktop chatbot. Facts were read from vendor and GitHub pages on Oct 25, 2026 and are Reported; what we ran ourselves is under What we measured.

Our pick: Pick llama.cpp for developers embedding local inference; pick GPT4All for people who want a simple private desktop chatbot. No overall winner: we have not benchmarked them against each other. Updated (America/Chicago).

By Agentic Weekly, operated independently from Texas, US · Published · Last updated (America/Chicago) · How we work

Evidence: Both tools have a Tested entry (scope on each tool page). The facts in the tables were read from each vendor's own pages and the public GitHub API on 2026-10-25 (America/Chicago) and are Reported. The What we measured section lists what we have actually run, with links to the test logs, and what we have not run yet; anything we could not confirm is marked as not captured.

llama.cpp

ggml-org (open-source project) · b11889

Tested (smoke test)

LLM inference in C/C++: the open-source engine many local-model tools build on; MIT-licensed with near-daily build tags.

GPT4All

Nomic · v3.10.0

Tested (smoke test)

Local chatbot from Nomic that runs open-source models on your device; the latest GitHub release we saw is v3.10.0 from Feb 2025.

Side by side, from what we recorded

Each row compares one recorded fact for both tools. Rows are not weighted and nothing is added up into a score; the note under each row says what the marker means.

  • Evidence

    Tested (smoke test) for llama.cpp
    Tested (smoke test) for GPT4All

    Tested = we ran it (smoke test); Reported = we read official sources

  • Smoke-test result

    Passed for llama.cpp
    Passed for GPT4All

    Each tool's own smoke test on the same CPU-only machine; tasks differ unless the logs say otherwise

  • GitHub stars

    132,360 (llama.cpp is ahead on this row) for llama.cpp
    77,357 for GPT4All

    Attention, not quality. Read Oct 25, 2026 / Oct 25, 2026

  • Most recent release we saw

    Oct 25, 2026 (llama.cpp is ahead on this row) for llama.cpp
    Feb 25, 2025 for GPT4All

    More recent = newer release date; says nothing about quality

  • Pricing we could verify

    Verified from official page (llama.cpp is ahead on this row) for llama.cpp
    Partly verified for GPT4All

    About our evidence only, not about the price

  • Steps in our setup guide

    2 for llama.cpp
    2 for GPT4All

    Counts our guide's steps, not difficulty

  • Sources we cite

    1 for llama.cpp
    2 for GPT4All

    How much we had to read; more is not better

A list of recorded differences, not a quality score or a ranking. We have not benchmarked these tools against each other; the smoke-test row links each tool's own log. How we label evidence.

What we measured

We ran both llama.cpp and GPT4All ourselves; the table links each full test log. These are smoke tests on one CPU-only machine, not benchmarks. Each tool had its own task, so the two results are not a head-to-head. Model-driven runs used a small local Qwen2.5-3B-Instruct model.

Our own tests for llama.cpp and GPT4All
Testllama.cppGPT4All
Hands-on test log (install and a real task)Tested: llama.cpp b11889 (commit d854d98ba), Oct 25, 2026: passed. llama.cpp b11889 generated 118 tokens/s (0.5B), 40 (1.5B) and 19.5 (3B) on 8 CPU threads with llama-bench, and its server passed the same prompts and tool call as Ollama. Full test logTested: GPT4All gpt4all 2.8.2 (Python SDK), Oct 26, 2026: passed. GPT4All's Python SDK 2.8.2 loaded a local 3B GGUF in 4.01 s and answered 17 + 25 with 42 in 3 of 3 trials, but kept writing past the answer. Full test log

How we test and label results: methodology. All test logs: test hub.

llama.cpp vs GPT4All at a glance

llama.cpp and GPT4All are both listed under Local LLMs and model platforms. llama.cpp: LLM inference in C/C++: the open-source engine many local-model tools build on; MIT-licensed with near-daily build tags. GPT4All: Local chatbot from Nomic that runs open-source models on your device; the latest GitHub release we saw is v3.10.0 from Feb 2025.

llama.cpp and GPT4All side by side (vendor pages and GitHub, 2026-10-25)
Featurellama.cppGPT4All
Vendorggml-org (open-source project)Nomic
Listed underLocal LLMs and model platformsLocal LLMs and model platforms
LicenseMITMIT
Pricing modelFree and open sourceFree
Free tierFreeFree
Paid plansNoneNone listed
PlatformsCross-platform source and binariesDesktop app
Public repositoryggml-org/llama.cpp: 132,360 stars, last push Oct 26, 2026 UTC (GitHub API, Oct 25, 2026)nomic-ai/gpt4all: 77,357 stars, last push May 27, 2025 UTC (GitHub API, Oct 25, 2026)
Latest release we sawb11889, Oct 25, 2026v3.10.0, Feb 25, 2025
EvidenceTested (scope on its tool page)Tested (scope on its tool page)

How llama.cpp and GPT4All differ

  • Pricing model: llama.cpp is "Free and open source"; GPT4All is "Free".
  • GPT4All's repository had its last push on May 27, 2025, 516 days before we checked.
  • GitHub stars on Oct 25, 2026: llama.cpp 132,360 (ggml-org/llama.cpp) vs GPT4All 77,357 (nomic-ai/gpt4all). Stars measure attention, not quality.
  • Latest release we saw: llama.cpp b11889 on Oct 25, 2026; GPT4All v3.10.0 on Feb 25, 2025 (607 days earlier).
  • Plans and prices differ and are not like-for-like (credits, seats and usage limits vary), so we do not name a cheaper tool. The Paid plans row above quotes each vendor's plan list as read on Oct 25, 2026.

Both carry the same license: MIT.

Which should you pick?

  • Pick llama.cpp if: developers embedding local inference; people who want maximum control over local models. Skip it if: you want a polished app with a GUI.
  • Pick GPT4All if: people who want a simple private desktop chatbot. Skip it if: you want a project with recent releases (last release we saw is Feb 2025).

Strengths and limits

Strengths and limits as listed on each tool page
Featurellama.cppGPT4All
StrengthsMIT license; Very activeMIT license; No cloud required
LimitsCommand-line and build-oriented; Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobsLatest release tag is from Feb 2025

What we did not verify

  • llama.cpp: Performance on your hardware.
  • GPT4All: Current maintenance status.
  • Output quality, speed and reliability beyond the smoke tests listed under What we measured: not compared.

FAQ

Is llama.cpp or GPT4All open source?

llama.cpp: MIT. GPT4All: MIT. Licenses come from each project's GitHub repository or the vendor's own pages, read Oct 25, 2026; read the license text itself before redistributing or building a competing service.

Does llama.cpp or GPT4All have a free plan?

llama.cpp: Free: . GPT4All: Free: . Checked Oct 25, 2026; prices and limits change, so confirm on each vendor's page.

Which was updated more recently, llama.cpp or GPT4All?

llama.cpp's newest release we saw is b11889 (Oct 25, 2026); GPT4All's is v3.10.0 (Feb 25, 2025). Read Oct 25, 2026 from the official release page or repository; a newer date is not a quality ranking.

What is the main difference between llama.cpp and GPT4All?

Pricing model: llama.cpp is "Free and open source"; GPT4All is "Free". GPT4All's repository had its last push on May 27, 2025, 516 days before we checked.

Sources

Page history

  • : First published. Facts read from vendor pages and the GitHub API on 2026-10-25.

Markdown version for agents: /compare/llama-cpp-vs-gpt4all.md