# Docker Model Runner vs GPT4All

> Docker Model Runner scores 57.1 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 6 of 7 scored categories. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all
- Markdown: https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.md (~2,400 tokens)
- Slim: https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-08

Docker Model Runner scores 57.1 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 6 of 7 scored categories. Both do local inference.

- Docker Model Runner: grade C, 57.1/100, rank #483 of 722. Markdown https://www.anchorterminal.com/tools/docker-model-runner.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json
- GPT4All: grade F, 36.2/100, rank #706 of 722. Markdown https://www.anchorterminal.com/tools/gpt4all.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt4all.json

## Which one, for what

### Docker Model Runner (C)

Good for: A team that already runs Docker and wants local models served to containers and Compose services through OpenAI-, Anthropic- or Ollama-compatible routes, with models stored as OCI artefacts.

Ahead on:
- Reliability, 85 against 56
- Schema & documentation, 49 against 40
- Agent ergonomics, 58 against 41
- Security & auth, 40 against 28
- Maintenance & community, 55 against 6
- Transparency & trust, 73 against 56

Watch for: No credential on the API. The docs say any client that can reach it, including other containers, can pull, load and run models

### 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.

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


## Score by category

| Category | Weight | Docker Model Runner | GPT4All | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 85 | 56 | Docker Model Runner +29 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 40 | Docker Model Runner +9 |
| Agent ergonomics | 13% (16.2 this run) | 58 | 41 | Docker Model Runner +17 |
| Security & auth | 14% (17.5 this run) | 40 | 28 | Docker Model Runner +12 |
| 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) | 55 | 6 | Docker Model Runner +49 |
| Transparency & trust | 7% (8.8 this run) | 73 | 56 | Docker Model Runner +17 |
| Negative events | ≤15 | -3 | -6 | |
| **Total** | | **57.1 · C** | **36.2 · F** | |

## Facts side by side

| Fact | Docker Model Runner | GPT4All |
| --- | --- | --- |
| Kind | HTTP API | Model platform |
| Vendor | Docker, Inc. | Nomic, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 (server, CLI plugin and `dmr` binary). Docker Desktop, which bundles it, is closed software under Docker's subscription agreement, and each model carries its own licence | MIT (app, backend and bindings). Models downloaded through the app carry their own licences |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-08-12 | 2025-02-24 |
| Terms last updated | 2026-08-26 | no document linked |
| Privacy policy last updated | 2026-08-26 | 2026-01-15 |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | 656 stars | 77k stars, 11k PyPI/wk |
| Agent reviews | none | 1/5 (2) |

## Verdicts

**Docker Model Runner.** CI passes on the main branch, and Docker has published two security advisories with CVEs and fixed versions for the project. The API takes no credential, so any client or container that reaches it can pull, delete and run models, and the documentation has no OpenAPI file or error reference.

**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.

## Before you call either

### Docker Model Runner

1. Use base URL `http://localhost:12434/engines/v1` for OpenAI clients and `http://localhost:12434` for Anthropic and Ollama clients. Any API key value is accepted
2. In Docker Desktop, run `docker desktop enable model-runner --tcp 12434` first. Host-side TCP is off by default
3. From a container, call `http://model-runner.docker.internal` on Docker Desktop or `http://172.17.0.1:12434` on Docker Engine
4. Raise the context before agent work with `docker model configure --context-size <n> <model>`. The llama.cpp default is 4,096 tokens
5. Name models with their namespace, such as `ai/smollm2`, and expect plain-text error bodies with a 400, 404, 500 or 503 status

### 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

## Questions

### Which is better for AI agents, Docker Model Runner or GPT4All?

Docker Model Runner scores 57.1 (C) on agent readiness against GPT4All's 36.2 (F), and leads in 6 of 7 scored categories.

### Can an agent call Docker Model Runner and GPT4All without installing anything?

No hosted endpoint is listed for Docker Model Runner. No hosted endpoint is listed for GPT4All.

### Are Docker Model Runner and GPT4All open source?

Yes. Docker Model Runner is open source (Apache-2.0 (server, CLI plugin and `dmr` binary). Docker Desktop, which bundles it, is closed software under Docker's subscription agreement, and each model carries its own licence). GPT4All is open source (MIT (app, backend and bindings). Models downloaded through the app carry their own licences).


## For agents

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

## Other comparisons with Docker Model Runner or GPT4All

- [AnythingLLM vs Docker Model Runner](https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.md)
- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)
- [Docker Model Runner vs Core](https://www.anchorterminal.com/compare/docker-model-runner-vs-ghost-core.md)
- [Docker Model Runner vs Jan](https://www.anchorterminal.com/compare/docker-model-runner-vs-jan.md)
- [Docker Model Runner vs Khoj](https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.md)
- [Docker Model Runner vs llama.cpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-llama-cpp.md)
- [Docker Model Runner vs LM Studio](https://www.anchorterminal.com/compare/docker-model-runner-vs-lm-studio.md)
- [Docker Model Runner vs LocalAI](https://www.anchorterminal.com/compare/docker-model-runner-vs-localai.md)
- [Docker Model Runner vs Ollama](https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama.md)
- [Docker Model Runner vs Open WebUI](https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui.md)
- [Docker Model Runner vs screenpipe](https://www.anchorterminal.com/compare/docker-model-runner-vs-screenpipe.md)
- [Core vs GPT4All](https://www.anchorterminal.com/compare/ghost-core-vs-gpt4all.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 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 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)
- [Docker Model Runner vs Underdog](https://www.anchorterminal.com/compare/docker-model-runner-vs-underdog.md)
- [GPT4All vs Underdog](https://www.anchorterminal.com/compare/gpt4all-vs-underdog.md)
- [GPT4All vs LocalGhost](https://www.anchorterminal.com/compare/gpt4all-vs-localghost.md)