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Nomicv3.10.0Tested (smoke test)

GPT4All: what’s new in v3.10.0 and our verdict

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.

Official site

Release Ruler for GPT4All: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Feb 25, 2025
Last verified
Oct 26, 2026
Pricing
Partly verified
Best for
local LLM tools and model platforms

Evidence and ranking

Evidence behind this verdict

  1. Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 26, 2026. (done)
  3. Run by usSmoke test on Oct 26, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: No pricing page read. (checked 2026-10-25)

Our verdict

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.

Good for

  • People who want a simple private desktop chatbot

Skip if

  • You want a project with recent releases (last release we saw is Feb 2025)

Tested. Tested 2026-10-26 (America/Chicago). 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. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. The model was local (Qwen2.5-3B-Instruct (Q4_K_M) loaded directly from a GGUF file by the GPT4All Python SDK); we tested the tool, not any vendor's hosted models. Not tested: The GPT4All desktop app and its LocalDocs feature: only the Python SDK was run; GPT4All's own downloadable model catalogue and its download speed; we used a file already on disk; Speed: the machine was heavily shared during the run, so the timings are not a measure of the SDK; A single prompt and three trials is a smoke test, not a benchmark. These are smoke tests, not a benchmark. Full log: /tests/gpt4all.

Full test log with exact commands, versions and raw output: GPT4All gpt4all 2.8.2 (Python SDK): our test log.

Evidence
Tested (smoke test, 2026-10-26, local 3B model (Qwen2.5-3B)). A smoke test is not a benchmark.
What we ran
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.
Model used
Qwen2.5-3B-Instruct (Q4_K_M) loaded directly from a GGUF file by the GPT4All Python SDK
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
The GPT4All desktop app and its LocalDocs feature: only the Python SDK was run; GPT4All's own downloadable model catalogue and its download speed; we used a file already on disk; Speed: the machine was heavily shared during the run, so the timings are not a measure of the SDK; A single prompt and three trials is a smoke test, not a benchmark.
Date
(America/Chicago)

Best for

Key facts

GPT4All's page says it runs open-source models locally on your device with no cloud required. The repository is MIT-licensed and the newest release tag we saw is v3.10.0 (Feb 25, 2025).

  • License: MIT (per GitHub)
  • Platforms: Desktop app
  • Pricing model: Free
  • Free tier: Free
  • Paid plans: None listed
  • GitHub: nomic-ai/gpt4all: 77,357 stars on 2026-10-25, last push 2025-05-27
  • Latest release we saw: v3.10.0, 2025-02-25
  • How to start: Download GPT4All from gpt4all.io and pick a model.
  • v3.10.0 (2025-02-25): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with GPT4All

These steps come from the vendor's own pages as read on 2026-10-25. We have not run GPT4All.

  1. Get access

    Download GPT4All from gpt4all.io and pick a model.

  2. Check the limits and costs first

    Free. No pricing page read.

Pros and cons

Pros

  • MIT license
  • No cloud required

Cons

  • Latest release tag is from Feb 2025

Alternatives and comparisons

  • Jan: Open-source alternative to ChatGPT that runs open models locally or connects to cloud models like GPT and Claude.
  • Ollama: The common way to run open models locally on macOS, Windows and Linux, with a cloud option and an MIT-licensed open-source core.
  • LM Studio: Desktop app for running open models locally; the homepage now leads with Bionic, an agent for work and code.
  • Cohere: Enterprise AI company: Command models, Rerank and the North platform.

FAQ

What is GPT4All?

GPT4All's page says it runs open-source models locally on your device with no cloud required. The repository is MIT-licensed and the newest release tag we saw is v3.10.0 (Feb 25, 2025).

Is GPT4All free?

Free. No pricing page read. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is GPT4All under?

Its license: MIT (per GitHub). Read from the project's own pages on 2026-10-25.

What we have not verified

  • Current maintenance status

Sources

Last verified · Agentic Weekly

  • Cohere: Enterprise AI company: Command models, Rerank and the North platform.
  • DeepSeek: Model API that works with the OpenAI and Anthropic SDK formats and can back agent tools such as Claude Code, GitHub Copilot and OpenCode.
  • Hugging Face: The hub where the ML community shares models, datasets and apps, with PRO, Team and Enterprise tiers.

How to cite this page

Agentic Weekly, "GPT4All v3.10.0: what's new, verdict & setup", last updated 2026-10-26, https://theagenticweekly.com/tools/gpt4all

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/gpt4all.md. More for AI assistants: /ai, /tools.json, /llms.txt.