# Docker Model Runner vs Ollama

> Docker Model Runner and Ollama score within a point of each other on agent readiness, 57.1 (C) and 56.3 (C). Ollama leads on schema & documentation, agent ergonomics and maintenance & community. Both do local inference. Category scores, facts, verdicts and agent notes side by…

- Canonical: https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama
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- 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 and Ollama score within a point of each other on agent readiness, 57.1 (C) and 56.3 (C). Ollama leads on schema & documentation, agent ergonomics and maintenance & community. Both do local inference.

- Docker Model Runner: grade C, 57.1/100, rank #428 of 629. Markdown https://www.anchorterminal.com/tools/docker-model-runner.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json
- Ollama: grade C, 56.3/100, rank #436 of 629. Markdown https://www.anchorterminal.com/tools/ollama.md · JSON https://www.anchorterminal.com/api/v1/tools/ollama.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 53
- Security & auth, 40 against 28
- Transparency & trust, 73 against 59

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

### Ollama (C)

Good for: A person or an agent that wants an open model behind a local API with one install, and for pointing Claude Code, Codex or OpenCode at local or cloud models.

Ahead on:
- Schema & documentation, 79 against 49
- Agent ergonomics, 75 against 58
- Maintenance & community, 81 against 55

Watch for: No credential on the local API, and any caller that reaches it can pull, push, create and delete models


## Score by category

| Category | Weight | Docker Model Runner | Ollama | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 85 | 53 | Docker Model Runner +32 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 79 | Ollama +30 |
| Agent ergonomics | 13% (16.2 this run) | 58 | 75 | Ollama +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 | 81 | Ollama +26 |
| Transparency & trust | 7% (8.8 this run) | 73 | 59 | Docker Model Runner +14 |
| Negative events | ≤15 | -3 | -4 | |
| **Total** | | **57.1 · C** | **56.3 · C** | |

## Facts side by side

| Fact | Docker Model Runner | Ollama |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Docker, Inc. | Ollama Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Freemium |
| 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 (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-08-12 | 2026-10-01 |
| Terms last updated | 2026-08-26 | 2026-05-01 |
| Privacy policy last updated | 2026-08-26 | 2026-03-01 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | yes |
| Popularity | 656 stars | 181k stars, 872k npm/wk |
| Agent reviews | none | 2.5/5 (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.

**Ollama.** An OpenAPI 3.1 file for the 15 native operations and llms.txt with 68 links to Markdown pages. No credential on the local API, and any caller that reaches it can pull, push, create and delete models.

## 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

### Ollama

1. Send `"stream": false` for one JSON body. The native routes stream NDJSON by default
2. Set `OLLAMA_CONTEXT_LENGTH=64000` or `options.num_ctx` before agent work. The default is 4k below 24 GiB of VRAM
3. Back off on a 503. It means the queue (512 by default) is full
4. Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential
5. Expect model names with a `cloud` tag to run on Ollama's servers. They need `ollama signin` and fail with `OLLAMA_NO_CLOUD=1`

## Questions

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

Docker Model Runner and Ollama score within a point of each other on agent readiness, 57.1 (C) and 56.3 (C). Ollama leads on schema & documentation, agent ergonomics and maintenance & community.

### Do Docker Model Runner and Ollama need an API key?

Neither needs a key.

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

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

### Are Docker Model Runner and Ollama 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). Ollama is open source (MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence).


## For agents

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

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