Should I use GPT4All or Ollama?

Use Ollama, because GPT4All is no longer maintained and has had no release since v3.10.0 on February 24, 2025. Keep GPT4All only as a stopgap for an existing offline setup, especially if you rely on LocalDocs, which Ollama's listing does not replace.

Is GPT4All cheaper than Ollama?

No, GPT4All and Ollama are both free for local models. GPT4All has no paid plans, and Ollama's paid tiers (Pro at $20/month, Team at $25/seat/month with a 5-seat minimum) are optional cloud and team add-ons.

Is GPT4All discontinued?

In practice yes: Nomic said on December 19, 2025 that it was working to formally put GPT4All in non-maintained maintenance mode, and the repo has had no commits since May 27, 2025. The nomic.ai/gpt4all installers still download the final v3.10.0 build, and nomic.ai now sells AI agents for architecture, engineering and construction firms.

Is it safe to keep running GPT4All's local API server?

Not without care: GPT4All's local API server on port 4891 has no authentication, and the pull request that blocks DNS-rebinding attacks on it (#3587) has sat unmerged since May 2025. The server is optional, so leaving it off removes that exposure while you migrate.

GPT4All vs Ollama (2026)

By Noahlast updated October 26, 2026

Verdict: Choose Ollama for any new local-LLM setup: Ollama is actively developed, free and MIT-licensed for local use, and runs on the same Windows, macOS and Linux desktops as GPT4All. Choose GPT4All only to keep an existing offline v3.10.0 install running while you migrate, because Nomic has shipped no GPT4All release since February 24, 2025. The deciding factor is maintenance, with one catch: Ollama's listing describes no built-in equivalent to GPT4All's LocalDocs document chat.

GPT4All

Discontinued: Nomic's free, open-source desktop app for running LLMs locally, unmaintained since its last release (v3.10.0) in February 2025.

Pricing: Free
License: Open source

Best for only existing users keeping an offline v3.10.0 setup running while they migrate; new local-LLM setups should start on a maintained runner

Visit nomic.ai Read our review

Ollama

An open-source tool for running large language models locally, with an optional paid cloud tier for bigger models and higher usage.

Pricing: Free tier · paid from $20/mo
License: Open core

Best for developers who want to run open-weight LLMs locally for privacy, offline use, or air-gapped applications, with optional cloud access for models too large to run on local hardware

5/5 on Product Hunt (40 reviews)

Visit ollama.com Read our review

Which should you choose?

Choose GPT4All if…

wins 1/6 use cases

Not for new setups: Nomic has shipped no GPT4All release since v3.10.0 on February 24, 2025, and said in December 2025 it was moving the app to non-maintained maintenance mode
You already run GPT4All offline and need it working while you migrate: the v3.10.0 installer still downloads from nomic.ai/gpt4all, and chats, models and LocalDocs indexes stay on your machine
You rely on LocalDocs folder indexing with cited answers and have not picked a replacement document-chat tool yet

Choose Ollama if…

wins 4/6 use cases

You are starting a local-LLM setup today and want software that is still actively developed
You want a free, MIT-licensed runtime with a CLI, a REST API and a desktop app, plus 40,000+ community integrations
You want to run models offline with no account and no telemetry from local inference
You occasionally need models larger than your hardware can run: Ollama Pro adds larger cloud models for $20/month ($200/year)
Your team wants shared billing with zero data retention: Ollama Team costs $25/seat/month with a 5-seat minimum ($125/month)

GPT4All vs Ollama: feature comparison

Feature	GPT4All	Ollama
Product status	Nounmaintained; final release v3.10.0 on February 24, 2025	Yesactively developed
Starting price	Yesfree, no paid tiers	Yesfree for local models
Paid cloud tier	Nono paid plans	YesPro $20/mo or $200/yr; Max $100/mo paused for new signups
Team plan	No	Yes$25/seat/mo, 5-seat minimum, zero data retention
Platforms	YesWindows (x64 and ARM), macOS 12.6+, Ubuntu	YesWindows, macOS, Linux
License	YesMIT open source	YesMIT local runtime; cloud tier is a separate paid layer
Interface	Yesdesktop chat app	YesCLI, REST API and desktop app
Local API server	PartialOpenAI-compatible on port 4891, no authentication	YesREST API to local models
Chat with local documents	YesLocalDocs indexes folders with on-device Nomic embeddings and cites files	Unknown
Model catalog	Partialstops at early-2025 models such as the DeepSeek-R1 distills	YesQwen, DeepSeek, Llama, Gemma and others
Security fixes	NoDNS-rebinding fix for the local API server (#3587) unmerged since May 2025	Unknown
Privacy	Yesno account or API key; chats and indexes stay local	Yesno account; no telemetry from local inference
Integrations and SDKs	PartialPython SDK, last release 2.8.2 in August 2024	Yes40,000+ community integrations
Learning curve	Yeslow	Yeslow
External rating	Unknown	Yes5/5 from 40 reviews (Product Hunt)

GPT4All vs Ollama: pricing

Every tier both tools publish, as we last checked them — not just the entry price.

Is GPT4All still maintained?

No, GPT4All is no longer maintained: Nomic shipped the last release, v3.10.0, on February 24, 2025, and said in December 2025 that it was working to put the app in non-maintained maintenance mode.

The GPT4All GitHub repo has had no commits since May 27, 2025, and on December 19, 2025 Nomic's Andriy Mulyar wrote on issue #3638 that the company was working to formally put the app in non-maintained maintenance mode; nomic.ai now sells AI agents for architecture, engineering and construction firms. The installers on nomic.ai/gpt4all still download the final build, and nothing stored locally was deleted. Staying has costs: the built-in catalog stops at early-2025 models, newer llama.cpp architectures are unsupported, the Python SDK has not shipped since 2.8.2 in August 2024, and a fix for DNS-rebinding attacks on the unauthenticated local API server (#3587) was never merged.

Can Ollama replace GPT4All?

Ollama can replace GPT4All for running open-weight models offline and serving them to other apps, but Ollama's listing describes no built-in equivalent to GPT4All's LocalDocs document chat.

Ollama's MIT-licensed runtime downloads and runs models such as Qwen, DeepSeek, Llama and Gemma on Windows, macOS and Linux, needs no account, and sends no telemetry from local inference. Ollama packages model download and a local inference server behind a CLI (ollama run llama3), a REST API and a desktop app, so applications call a local model the way they would call a hosted API, the job GPT4All's OpenAI-compatible server on port 4891 did. LocalDocs, which indexed folders with on-device Nomic embeddings and cited the source files, is the gap. Former GPT4All users have also moved to LM Studio, Jan and AnythingLLM.

GPT4All vs Ollama pricing: what does each cost?

GPT4All and Ollama are both free for local models; GPT4All has no paid plans at all, while Ollama sells optional cloud and team tiers starting at $20/month.

Ollama Pro costs $20/month or $200/year and adds larger cloud models, up to 3 concurrent cloud models and about 50x the Free plan's cloud usage. Max costs $100/month for 10 concurrent cloud models but is paused for new signups. Team costs $25/seat/month with a 5-seat minimum ($125/month) and adds shared billing and zero data retention; Enterprise is custom-priced. Ollama's cloud usage limits reset on 5-hour and 7-day cycles. GPT4All is free and MIT-licensed, with no paid tier to upgrade to.

Which is easier to use, GPT4All or Ollama?

GPT4All and Ollama both carry a low learning-curve rating, but GPT4All was built as a desktop chat app while Ollama centers on a CLI and REST API with a desktop app alongside.

GPT4All downloads quantized GGUF models from Hugging Face and runs them on your CPU or GPU with no account, API key or internet connection once a model is on disk, and LocalDocs needs only a folder to point at. Ollama starts a model with one command such as ollama run llama3 and exposes the same model over a REST API, which suits developers wiring models into other tools. Ollama's own listing notes that local speed and model size are bounded by your RAM and GPU VRAM.

Strengths and weaknesses

GPT4All

Pros

Ran open-weight models fully offline on ordinary laptops, with no account, API key or dedicated GPU required.
LocalDocs indexed local folders with on-device Nomic embeddings and showed which files an answer came from.
MIT-licensed, with native installers for Windows (x64 and ARM), macOS 12.6+ and Ubuntu, plus a Python SDK (pip install gpt4all).
An optional OpenAI-compatible local API server on port 4891 let other tools use the loaded model.

Cons

No longer maintained: the last release was v3.10.0 on February 24, 2025, and the repo has had no commits since May 27, 2025.
The local API server has no authentication, and the fix for DNS-rebinding attacks (pull request #3587) was never merged.
The built-in model catalog stops at early-2025 models such as the DeepSeek-R1 distills, and architectures added to llama.cpp later are not supported.
The Python SDK (gpt4all on PyPI) has not had a release since version 2.8.2 in August 2024.

Ollama

Pros

Core local runtime is free, open source (MIT), and requires no account to run models offline.
No telemetry from local inference; data never leaves the device unless a cloud model is explicitly used.
Simple CLI and REST API make it easy to integrate into existing developer tools and 40,000+ community integrations.
Cloud tier extends the same interface to larger models when local hardware isn't enough.

Cons

Local performance depends entirely on the user's own hardware; larger models need significant RAM or GPU VRAM to run well.
Max plan ($100/month) is currently paused for new signups while Ollama adds capacity.
Cloud usage limits reset on 5-hour and 7-day cycles, which can be restrictive for bursty workloads compared to flat monthly quotas.
Team plan has a 5-seat minimum ($125/month), which is a meaningful jump for very small teams.

Which fits your use case?

Use case	Pick	Why
Anyone starting a local-LLM setup today	Ollama	Ollama is actively developed and free for local models, while GPT4All has had no release since February 24, 2025.
Existing GPT4All user who needs a working offline setup this week	GPT4All	The final GPT4All v3.10.0 build still installs and runs, and chats, models and LocalDocs indexes stay on the machine while a migration is planned.
Developer wiring local models into scripts and other tools	Ollama	Ollama's REST API lets applications call a local model the way they would call a hosted API, with 40,000+ community integrations; GPT4All's local server has no authentication and gets no fixes.
Laptop user who sometimes needs a model larger than local hardware can run	Ollama	Ollama Pro ($20/month) adds larger cloud models and up to 3 concurrent cloud models; GPT4All has no paid plans.
Small team that wants shared billing with zero data retention	Ollama	Ollama Team costs $25/seat/month with a 5-seat minimum ($125/month); GPT4All has no team plan.
User whose main workflow is chatting with a folder of local documents	Tie	Neither is a clean fit: GPT4All's LocalDocs still works but gets no updates, and Ollama's listing describes no built-in document indexing. Former GPT4All users have also moved to LM Studio, Jan and AnythingLLM.

Neither a match?

Both lists carry verified pricing and honest weaknesses for every option.

6 alternatives to GPT4All 4 alternatives to Ollama

Popular comparisons

GPT4All vs Ollama: migration FAQ

Should I use GPT4All or Ollama?: Use Ollama, because GPT4All is no longer maintained and has had no release since v3.10.0 on February 24, 2025. Keep GPT4All only as a stopgap for an existing offline setup, especially if you rely on LocalDocs, which Ollama's listing does not replace.
Is GPT4All cheaper than Ollama?: No, GPT4All and Ollama are both free for local models. GPT4All has no paid plans, and Ollama's paid tiers (Pro at $20/month, Team at $25/seat/month with a 5-seat minimum) are optional cloud and team add-ons.
Can Ollama replace GPT4All?: Yes for running open-weight models offline and serving them to other apps through Ollama's CLI, REST API and desktop app. Ollama's listing describes no folder-indexing feature like GPT4All's LocalDocs, so document-chat users need an additional tool.
Is GPT4All discontinued?: In practice yes: Nomic said on December 19, 2025 that it was working to formally put GPT4All in non-maintained maintenance mode, and the repo has had no commits since May 27, 2025. The nomic.ai/gpt4all installers still download the final v3.10.0 build, and nomic.ai now sells AI agents for architecture, engineering and construction firms.
Is it safe to keep running GPT4All's local API server?: Not without care: GPT4All's local API server on port 4891 has no authentication, and the pull request that blocks DNS-rebinding attacks on it (#3587) has sat unmerged since May 2025. The server is optional, so leaving it off removes that exposure while you migrate.