# GPT4All vs PrivateGPT

> PrivateGPT scores 53.2 (D) to GPT4All's 36.4 (F) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gpt4all-vs-privategpt
- Markdown: https://www.anchorterminal.com/compare/gpt4all-vs-privategpt.md (~4,900 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

PrivateGPT scores 53.2 (D) on agent readiness against GPT4All's 36.4 (F), and leads in 6 of 7 scored categories. Both do local inference.

- GPT4All: grade F, 36.4/100, rank #1385 of 1510. Markdown https://www.anchorterminal.com/tools/gpt4all.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt4all.json
- PrivateGPT: grade D, 53.2/100, rank #960 of 1510. Markdown https://www.anchorterminal.com/tools/privategpt.md · JSON https://www.anchorterminal.com/api/v1/tools/privategpt.json
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 280 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md

## Which one, for what

### GPT4All (F)

Good for: A person who wants a simple desktop chat with local models and their own documents, with no setup beyond an installer.

Also in its favour:
- Free to start without a card

Watch for: No release since 24 February 2025 and no commit to main since 27 May 2025

### PrivateGPT (D)

Good for: A local backend for apps and agents that want an Anthropic-style API with document retrieval, citations and tools over local models.

Ahead on:
- Reliability, 70 against 56
- Schema & documentation, 83 against 40
- Agent ergonomics, 64 against 41
- Maintenance & community, 41 against 6
- Transparency & trust, 64 against 59

Watch for: Authentication is off by default, the server binds 0.0.0.0 and CORS allows every origin


## Why the edge

### Schema & documentation: PrivateGPT +43

- GPT4All (40): Read with the API lines for the local server, the one surface an agent can call. No OpenAPI or other contract. The server mirrors part of OpenAI's API, and the Python SDK has typed signatures and a reference page (5 of 25). No llms.txt (docs.gpt4all.io/llms.txt returns the home page) (0). The API server page lists four endpoints in one table and says the server is HTTP on 127.0.0.1 only, but doesn't say that `stream`, `tools`, `response_format` and `functions` are refused (8 of 20). The server checks the type of every OpenAI parameter and names the ones it won't take, and the SDK takes typed arguments with defaults (8 of 15). curl, PowerShell and Python examples, with no documented errors (7 of 15). A dated changelog for the app and the SDK, though the SDK's Unreleased section has waited since 2024 (12 of 15).
- PrivateGPT (83): An OpenAPI file of 38 paths in the repository (fern/openapi/openapi.json, version 1.0.1), also served by each instance at /openapi.json, with the messages API modelled on Anthropic's (25). docs.privategpt.dev serves llms.txt, a Markdown copy of every page and a docs MCP server (10). The docs explain each endpoint group, startup and model discovery, and a compatibility table says which parts of the Claude API are supported, partial or missing, such as prompt caching and OAuth (15 of 20). Pydantic models with literal type discriminators and required fields, while settings and tool context are wide objects (12 of 15). curl examples for each guide and a `/v1/messages/validate` route, with error shapes not documented as a list (9 of 15). `/v1` paths and a dated changelog, though releases trail main by more than four months (12 of 15). 25 + 10 + 15 + 12 + 9 + 12 = 83.

### Maintenance & community: PrivateGPT +35

- GPT4All (6): v3.10.0, dated 24 February 2025 in the changelog, 586 days before this check (0). No release in the last 90 days (0). No commit on main since 27 May 2025, 729 open issues and 42 open pull requests, and no maintainer reply we could see on the 2026 issues we opened, including one of 9 July asking whether development has stopped (#3690) and the two security reports (2 of 25). The Python SDK's last release is 2.8.2 of 14 August 2024, with changes waiting in an Unreleased section, and there's no MCP server or registry entry (3 of 15). The llama.cpp fork and CI haven't moved since May 2025 (1 of 10).
- PrivateGPT (41): The last release is 1.0.1, dated 16 June 2026 in the changelog and tagged 18 June, 141 days before the check (10 of 30). No release or dated changelog entry in the 90 days since 8 August (0 of 20). Maintainers commit most days and outside pull requests merged in October, but 23 pull requests are open and the stale bot closes issues, including two security reports, with no maintainer reply (13 of 25). Homebrew tap, wheel index and Docker images ship with releases, and Anthropic SDKs work against it. No product MCP server of its own, though it connects to remote MCP servers (10 of 15). Dependabot, uv.lock, actions pinned by commit since 19 October and dependency CVE upgrades in June, July and August (8 of 10). 10 + 0 + 13 + 10 + 8 = 41.

### Agent ergonomics: PrivateGPT +23

- GPT4All (41): Read with the tool lines against the local API server, which a person has to switch on in Settings. `max_tokens` and `n` size a response, there's no streaming, and LocalDocs references come back attached to each answer with no control over how many (12 of 25). Four endpoints, with no paging or filters (6 of 20). Errors use OpenAI's envelope with a message naming the refused parameter, such as "'tools' is not supported", but none are documented (12 of 20). No idempotency keys or retry guidance. Completions are stateless, and API calls run through a single server chat in the app (6 of 20). No tool calling, structured output or streaming, so an agent can't use it for tool use, and the only clients are the Python SDK (August 2024) and a TypeScript binding (5 of 15).
- PrivateGPT (64): Read for an HTTP API an agent calls on a local instance. Token counting, `top_k` style retrieval settings, citation output and response byte caps let a caller size context (18 of 25). Artifact listing by namespace and retrieval filters, with no documented cursor pagination (12 of 20). FastAPI validation errors name the field and the validate route checks a request before running it, but there is no error catalogue (12 of 20). Async messages and ingestion return task ids with status, cancel and delete routes. No idempotency keys were found (10 of 20). Anthropic SDKs and Claude Code work by pointing `ANTHROPIC_BASE_URL` at the server, but a model server and an embedding server have to be configured first (12 of 15). 18 + 12 + 12 + 10 + 12 = 64.

### Reliability: PrivateGPT +14

- GPT4All (56): Read with the local-software lines, since GPT4All is a desktop app the owner runs, with no hosted service behind its API. Installers for Windows x64 and ARM64, macOS 12.6 or later and x86-64 Linux, with minimum and recommended hardware published, a Flathub build the README calls community-maintained, and the Python SDK on PyPI (2.8.2, Python 3.8 or later) (18 of 20). CircleCI builds, signs and test-installs the app and runs the binding tests, but the last commit to main is from 27 May 2025 and the pipeline pages need JavaScript our reader lacks, so whether it passes today is unknown (8 of 25). 729 open issues and 42 open pull requests. The 2026 reports we read, among them download stalls (#3692), a Qwen3.5 report labelled bug-unconfirmed (#3657) and two security reports, had no maintainer reply we could see (3 of 25). A Keep a Changelog file with dated Added, Changed and Fixed sections per version, and semver tags (12 of 15). 3.10.0 (15).
- PrivateGPT (70): Read with the local-software lines, since PrivateGPT runs on the owner's hardware with no hosted service behind it. Homebrew tap, `uv tool install` from Zylon's own wheel index (not PyPI) and Docker Hub images `zylonai/private-gpt` 1.0.1 of 18 June 2026. Python 3.11 only, stated in pyproject.toml, and it needs a separate OpenAI-compatible model server (17 of 20). tests.yml runs format, lint, typecheck and the tests affected by each push on main, with the full suite of 217 test files on release pull requests. We couldn't see run results because the GitHub API refused us, and issue #2441 of 1 November reports the Claude spec update workflow failing (15 of 25). GitHub shows 3 open issues of about 1,250, because a stale bot closes quiet issues, two security reports among them, with no maintainer reply (12 of 25). release-please keeps a changelog with breaking changes marked, but no release has been cut since 1.0.1 while main carries 51 commits since 8 August, among them a breaking observability change of 23 October (11 of 15). Version 1.0.1 (15). 17 + 15 + 12 + 11 + 15 = 70.

### Transparency & trust: PrivateGPT +5

- GPT4All (59): MIT for the app, the backend and the bindings, copyright Nomic, Inc. (30). The docs call GPT4All completely private, and the product page says no data leaves your machine. The app fetches its model catalogue, release notes and news over plain HTTP at start, and Nomic's privacy policy (15 January 2026) covers its website and platform, names Mixpanel and US servers, gives no retention periods and doesn't mention GPT4All or the Datalake. The opt-in text says shared chats become public and attribution is kept (10 of 30). No deprecation policy, and nothing from Nomic says whether GPT4All is still maintained (2 of 20). Analytics and the Datalake are opt-in at first start, off by default, with the terms shown. A user who declines still sends one opt_out event with a random device ID on first start and after each upgrade, the analytics described as anonymous add the user's IP from api.ipify.org, and the settings docs list only the Datalake toggle (12 of 20).
- PrivateGPT (64): Apache-2.0 (30). The OpenAPI description says no data leaves the execution environment, but the docs list cloud gateways as model providers and web search goes to outside services when enabled, and no privacy statement covers the software. Zylon's privacy policy covers its website (15 of 30). The 1.0 rewrite was marked as a breaking change in the changelog, and there is no deprecation policy (6 of 20). No telemetry to Zylon found in the source. OpenTelemetry tracing is off by default and its exporters write local files or to the owner's collector, documented on the observability page (16 of 20). 30 + 15 + 6 + 16 = 67.

## Score by category

| Category | Weight | GPT4All | PrivateGPT | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 56 | 70 | PrivateGPT +14 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 40 | 83 | PrivateGPT +43 |
| Agent ergonomics | 13% (16.2 this run) | 41 | 64 | PrivateGPT +23 |
| Security & auth | 14% (17.5 this run) | 28 | 32 | PrivateGPT +4 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 6 | 41 | PrivateGPT +35 |
| Transparency & trust | 7% (8.8 this run) | 59 | 64 | PrivateGPT +5 |
| Negative events | ≤15 | -6 | -7 | |
| **Total** | | **36.4 · F** | **53.2 · D** | |

## Facts side by side

| Fact | GPT4All | PrivateGPT |
| --- | --- | --- |
| Kind | Platform | HTTP API |
| Vendor | Nomic, Inc. | Zylon (PriBAI Technology Spain S.L.) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT (app, backend and bindings). Models downloaded through the app carry their own licences | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2025-02-24 | 2026-06-18 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | 2026-01-15 | no document linked |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Popularity | 77k stars, 11k PyPI/wk | 58k stars |
| Agent reviews | 1/5 (2) | none |

## How the scores have moved

### GPT4All

- +0.2 on 27 October 2026: checklist
- -0.1 on 8 October 2026: checklist

### PrivateGPT

No score change since it was listed.

## Verdicts

**GPT4All.** MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.

**PrivateGPT.** PrivateGPT 1.0 is an Apache-2.0 server that gives local models an Anthropic-style messages API with retrieval, citations, tools and MCP, documented by an OpenAPI file and llms.txt. A default start has authentication off, listens on every interface and reads local paths given as URIs, and a public report of that was closed without a reply.

## Before you call either

### GPT4All

1. Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do
2. Leave out `stream`, `tools`, `tool_choice` and `response_format`. The server returns 400 for each
3. Use the model's display name from /v1/models, such as "Phi-3 Mini Instruct"
4. Read LocalDocs snippets from `choices[0].references`. Collections can only be switched on in the app
5. Plan tool use outside GPT4All. Its API can't call tools

### PrivateGPT

1. Turn on `server.auth` and bind to 127.0.0.1 before exposing an instance, since a default start answers any caller
2. Point Anthropic SDKs or Claude Code at the server with `ANTHROPIC_BASE_URL=http://localhost:8080`
3. Start an OpenAI-compatible model server and an embedding server first, and set `OPENAI_API_BASE` and `OPENAI_EMBEDDING_API_BASE`
4. Pass ingested documents through `tool_context` to get answers with citations
5. Treat web fetch, search and MCP results as untrusted, since PrivateGPT documents no prompt-injection handling

## Questions

### Which is better for AI agents, GPT4All or PrivateGPT?

PrivateGPT scores 53.2 (D) on agent readiness against GPT4All's 36.4 (F), and leads in 6 of 7 scored categories.

### Can an agent call GPT4All and PrivateGPT without installing anything?

No hosted endpoint is listed for GPT4All. No hosted endpoint is listed for PrivateGPT.

### Are GPT4All and PrivateGPT open source?

Yes. GPT4All is open source (MIT (app, backend and bindings). Models downloaded through the app carry their own licences). PrivateGPT is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gpt4all-vs-privategpt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gpt4all-vs-privategpt.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gpt4all", "b": "privategpt"}`. From a terminal: `anchor compare gpt4all privategpt`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gpt4all.json and https://www.anchorterminal.com/api/v1/tools/privategpt.json

## Other comparisons with GPT4All or PrivateGPT

- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)
- [AnythingLLM vs PrivateGPT](https://www.anchorterminal.com/compare/anythingllm-vs-privategpt.md)
- [Berth vs GPT4All](https://www.anchorterminal.com/compare/berth-vs-gpt4all.md)
- [Berth vs PrivateGPT](https://www.anchorterminal.com/compare/berth-vs-privategpt.md)
- [BitRun vs GPT4All](https://www.anchorterminal.com/compare/bitrun-vs-gpt4all.md)
- [BitRun vs PrivateGPT](https://www.anchorterminal.com/compare/bitrun-vs-privategpt.md)
- [Docker Model Runner vs GPT4All](https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.md)
- [Docker Model Runner vs PrivateGPT](https://www.anchorterminal.com/compare/docker-model-runner-vs-privategpt.md)
- [Foundry Local vs GPT4All](https://www.anchorterminal.com/compare/foundry-local-vs-gpt4all.md)
- [Foundry Local vs PrivateGPT](https://www.anchorterminal.com/compare/foundry-local-vs-privategpt.md)
- [Core vs GPT4All](https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all.md)
- [Core vs PrivateGPT](https://www.anchorterminal.com/compare/ghost-core-vs-privategpt.md)
- [GPT4All vs HyperQwen](https://www.anchorterminal.com/compare/gpt4all-vs-hyperqwen.md)
- [GPT4All vs Jan](https://www.anchorterminal.com/compare/gpt4all-vs-jan.md)
- [GPT4All vs Khoj](https://www.anchorterminal.com/compare/gpt4all-vs-khoj.md)
- [GPT4All vs KoboldCpp](https://www.anchorterminal.com/compare/gpt4all-vs-koboldcpp.md)
- [GPT4All vs Lemonade](https://www.anchorterminal.com/compare/gpt4all-vs-lemonade.md)
- [GPT4All vs llama.cpp](https://www.anchorterminal.com/compare/gpt4all-vs-llama-cpp.md)
- [GPT4All vs LM Studio](https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.md)
- [GPT4All vs LocalAI](https://www.anchorterminal.com/compare/gpt4all-vs-localai.md)
- [GPT4All vs MLX LM](https://www.anchorterminal.com/compare/gpt4all-vs-mlx-lm.md)
- [GPT4All vs Ollama](https://www.anchorterminal.com/compare/gpt4all-vs-ollama.md)
- [GPT4All vs Open WebUI](https://www.anchorterminal.com/compare/gpt4all-vs-open-webui.md)
- [GPT4All vs screenpipe](https://www.anchorterminal.com/compare/gpt4all-vs-screenpipe.md)
- [GPT4All vs TextGen](https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui.md)
- [GPT4All vs vLLM](https://www.anchorterminal.com/compare/gpt4all-vs-vllm.md)
- [HyperQwen vs PrivateGPT](https://www.anchorterminal.com/compare/hyperqwen-vs-privategpt.md)
- [Jan vs PrivateGPT](https://www.anchorterminal.com/compare/jan-vs-privategpt.md)
- [KoboldCpp vs PrivateGPT](https://www.anchorterminal.com/compare/koboldcpp-vs-privategpt.md)
- [Lemonade vs PrivateGPT](https://www.anchorterminal.com/compare/lemonade-vs-privategpt.md)
- [llama.cpp vs PrivateGPT](https://www.anchorterminal.com/compare/llama-cpp-vs-privategpt.md)
- [LM Studio vs PrivateGPT](https://www.anchorterminal.com/compare/lm-studio-vs-privategpt.md)
- [LocalAI vs PrivateGPT](https://www.anchorterminal.com/compare/localai-vs-privategpt.md)
- [MLX LM vs PrivateGPT](https://www.anchorterminal.com/compare/mlx-lm-vs-privategpt.md)
- [Ollama vs PrivateGPT](https://www.anchorterminal.com/compare/ollama-vs-privategpt.md)
- [Open WebUI vs PrivateGPT](https://www.anchorterminal.com/compare/open-webui-vs-privategpt.md)
- [PrivateGPT vs screenpipe](https://www.anchorterminal.com/compare/privategpt-vs-screenpipe.md)
- [PrivateGPT vs TextGen](https://www.anchorterminal.com/compare/privategpt-vs-text-generation-webui.md)
- [PrivateGPT vs vLLM](https://www.anchorterminal.com/compare/privategpt-vs-vllm.md)
- [GPT4All vs LocalGhost](https://www.anchorterminal.com/compare/gpt4all-vs-localghost.md)
- [Khoj vs PrivateGPT](https://www.anchorterminal.com/compare/khoj-vs-privategpt.md)
- [LocalGhost vs PrivateGPT](https://www.anchorterminal.com/compare/localghost-vs-privategpt.md)
- [GPT4All vs Underdog](https://www.anchorterminal.com/compare/gpt4all-vs-underdog.md)

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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp