# GPT4All v3.10.0: what's new, verdict & setup Canonical: https://theagenticweekly.com/tools/gpt4all · Released: 2025-02-25 · Last verified: 2026-10-26 · Evidence: Tested (smoke test, 2026-10-26, local 3B model (Qwen2.5-3B)) · Vendor: Nomic · Official site: https://gpt4all.io/ > 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. ## 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. Test scope: - Kind and date: smoke test, 2026-10-26 (America/Chicago). 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. Full test log (commands, versions, raw output): [GPT4All gpt4all 2.8.2 (Python SDK): our test log](https://theagenticweekly.com/tests/gpt4all) Pricing: Partly verified. No pricing page read. (checked 2026-10-25) ## Best for - [Best AI tool for local LLM tools and model platforms](https://theagenticweekly.com/best/llm-platforms) (#-): Private local chatbot by Nomic. ## 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 - [Jan](https://theagenticweekly.com/tools/jan): Open-source alternative to ChatGPT that runs open models locally or connects to cloud models like GPT and Claude. - [Ollama](https://theagenticweekly.com/tools/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](https://theagenticweekly.com/tools/lm-studio): Desktop app for running open models locally; the homepage now leads with Bionic, an agent for work and code. - [Cohere](https://theagenticweekly.com/tools/cohere): Enterprise AI company: Command models, Rerank and the North platform. - [DeepSeek](https://theagenticweekly.com/tools/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](https://theagenticweekly.com/tools/hugging-face): The hub where the ML community shares models, datasets and apps, with PRO, Team and Enterprise tiers. - [LiteLLM](https://theagenticweekly.com/tools/litellm): Python SDK and proxy that gives one OpenAI-style interface to many model providers. - [llama.cpp](https://theagenticweekly.com/tools/llama-cpp): LLM inference in C/C++: the open-source engine many local-model tools build on; MIT-licensed with near-daily build tags. - [Open WebUI](https://theagenticweekly.com/tools/open-webui): Self-hosted AI platform: a web interface that connects to Ollama and OpenAI-compatible models, under its own Open WebUI License. - [OpenRouter](https://theagenticweekly.com/tools/openrouter): Unified API to many models with fallbacks; a Free tier with 25+ free models and 4 free providers. - [Replicate](https://theagenticweekly.com/tools/replicate): Cloud API for running and fine-tuning open models, with per-use pricing. - [Together AI](https://theagenticweekly.com/tools/together-ai): AI cloud for open models: serverless inference, fine-tuning and GPU clusters, priced per token. ## 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 - [GPT4All](https://gpt4all.io/) (fetched 2026-10-25) - [GPT4All repository (GitHub)](https://github.com/nomic-ai/gpt4all) (fetched 2026-10-25) ## How to cite 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 the verdict.