# BitRun vs Docker Model Runner

> Docker Model Runner scores 57.1 (C) to BitRun's 37.9 (F) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-15

Docker Model Runner scores 57.1 (C) on agent readiness against BitRun's 37.9 (F), and leads in 5 of 7 scored categories. Both do local inference.

- BitRun: grade F, 37.9/100, rank #1018 of 1094. Markdown https://www.anchorterminal.com/tools/bitrun.md · JSON https://www.anchorterminal.com/api/v1/tools/bitrun.json
- Docker Model Runner: grade C, 57.1/100, rank #663 of 1094. Markdown https://www.anchorterminal.com/tools/docker-model-runner.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 204 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md

## Which one, for what

### BitRun (F)

Good for: A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.

Watch for: First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow

### 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 38
- Schema & documentation, 49 against 30
- Agent ergonomics, 58 against 40
- Security & auth, 40 against 28
- Transparency & trust, 73 against 50

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


## Score by category

| Category | Weight | BitRun | Docker Model Runner | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 38 | 85 | Docker Model Runner +47 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 30 | 49 | Docker Model Runner +19 |
| Agent ergonomics | 13% (16.2 this run) | 40 | 58 | Docker Model Runner +18 |
| Security & auth | 14% (17.5 this run) | 28 | 40 | 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) | 59 | 55 | BitRun +4 |
| Transparency & trust | 7% (8.8 this run) | 50 | 73 | Docker Model Runner +23 |
| Negative events | ≤15 | -3 | -3 | |
| **Total** | | **37.9 · F** | **57.1 · C** | |

## Facts side by side

| Fact | BitRun | Docker Model Runner |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Docker, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | 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 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-15 | 2026-08-12 |
| Terms last updated | no document linked | 2026-08-26 |
| Privacy policy last updated | no document linked | 2026-08-26 |
| 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 | 5 stars | 656 stars |

## Verdicts

**BitRun.** BitRun packages patched llama.cpp builds for ternary models into one download for macOS on Apple silicon, Windows and Linux, with a loopback-only OpenAI-compatible server. It is three days old with three pre-release versions, one maintainer and no CI, and its published power figures come from a fixed formula rather than measurement.

**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.

## Before you call either

### BitRun

1. Ask the user to install BitRun and run `bitrun pull <tag>` and `bitrun serve <tag>` first. Then call http://127.0.0.1:11435/v1 with any API key string
2. Poll `/health` before the first request. The server loads the model in the background and answers only when ready
3. Use a model tag from the catalogue (bitnet-70m, bonsai-1.7b, falcon3-1b, bitnet-2b, falcon3-3b, bonsai-8b) and keep prompts within its context window
4. Treat the README's energy figures as estimates, and don't report them as measured power
5. Expect small research checkpoints. Check outputs before relying on them for code or facts

### 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

## Questions

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

Docker Model Runner scores 57.1 (C) on agent readiness against BitRun's 37.9 (F), and leads in 5 of 7 scored categories.

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

Neither needs a key.

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

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

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

Yes. BitRun is open source (MIT). 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).


## For agents

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

## Other comparisons with BitRun or Docker Model Runner

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