{ "data": { "a": { "slug": "docker-model-runner", "name": "Docker Model Runner", "vendor": "Docker, Inc.", "vendorUrl": "https://www.docker.com", "kind": "http-api", "category": "local-ai", "summary": "Docker's open-source tool for pulling and running open models from Docker Hub, OCI registries or Hugging Face. It runs through Docker Desktop, Docker Engine or a standalone `dmr` binary, with local OpenAI-, Anthropic- and Ollama-compatible APIs.", "url": "https://www.anchorterminal.com/tools/docker-model-runner", "markdownUrl": "https://www.anchorterminal.com/tools/docker-model-runner.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/docker-model-runner.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json", "repo": "https://github.com/docker/model-runner", "license": "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", "transports": [ "http" ], "packages": [ { "registry": "oci", "name": "docker.io/docker/model-runner" } ], "auth": "none", "authNotes": "The API takes no credential, and the docs say it ignores any key sent. Per the docs, any client that can reach it, including other containers on the same Docker network, can pull, load and run models. In Docker Desktop, host-side TCP is off until enabled in settings or with `docker desktop enable model-runner --tcp \u003cport\u003e`, and containers reach the API at model-runner.docker.internal. In Docker Engine, TCP is on by default on port 12434. Cross-origin requests get 403 unless the origin is localhost, 127.0.0.1, 0.0.0.0 or listed in `DMR_ORIGINS` (https://docs.docker.com/ai/model-runner/; https://github.com/docker/model-runner/blob/main/pkg/envconfig/envconfig.go).", "pricing": "free", "pricingNotes": "Free under Apache-2.0, with no account needed for the Docker Engine plugin or the standalone `dmr` binary. On macOS and Windows it also ships inside Docker Desktop, which is free for personal use, non-commercial open-source projects and businesses with fewer than 250 employees and under US $10,000,000 in annual revenue. Larger organisations need a paid Docker plan for Desktop (https://www.docker.com/legal/docker-subscription-service-agreement/; https://www.docker.com/pricing/, checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 656, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.docker.com/ai/model-runner/", "llmsTxt": "https://docs.docker.com/llms.txt", "capabilities": [ "inference.local", "inference.open-weights", "inference.llm", "embed.text", "rerank", "image.generate" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "openai-compatible", "llms-txt", "docker", "go", "no-auth" ], "lastRelease": "2026-08-12", "graded": true, "anchor": { "graded": true, "score": 57.1, "grade": "C", "agentReady": false, "rank": 559, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 55, "payments": 60, "reliability": 85, "schema": 49, "security": 40, "transparency": 73 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-02-27. GHSA-m456-c56c-hh5c (CVE-2026-28400, 7.5). The unauthenticated `/engines/_configure` route accepted arbitrary runtime flags, so a caller, including a container on Docker Desktop, could overwrite files the runner could reach, the Desktop VM disk among them. Fixed in Model Runner 1.0.16 and Docker Desktop 4.61.0 and published by Docker, more than six months ago, -2. https://github.com/docker/model-runner/security/advisories/GHSA-m456-c56c-hh5c", "2026-03-30. GHSA-x2f5-332j-9xwq (CVE-2026-33990, 7.1). A malicious OCI registry could point the token exchange at an internal URL and make the runner send GET requests to host-local services. Fixed in 1.1.25 and Docker Desktop 4.67.0 and published by Docker, more than six months ago, -1. https://github.com/docker/model-runner/security/advisories/GHSA-x2f5-332j-9xwq" ], "verdict": "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.", "bestFor": "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.", "strengths": [ "OpenAI-, Anthropic- and Ollama-compatible routes on one local port, so existing clients for those three APIs work with a changed base URL", "CI runs lint, race-detector tests and end-to-end tests on every push to main, and the ten most recent runs on main passed on 8 October 2026", "Two GitHub security advisories with CVE numbers, fixed versions and workarounds, and a SECURITY.md that promises an acknowledgement within 72 hours", "Apache-2.0 source, and the docs list what usage data is collected with a link to the code that sends it", "Host-side TCP is off by default in Docker Desktop, and inference engines run sandboxed on macOS and Windows or in a container on Linux" ], "weaknesses": [ "No credential on the API. The docs say any client that can reach it, including other containers, can pull, load and run models", "No OpenAPI file, no error reference and no rate-limit or retry guidance in the reviewed documentation", "Two releases in the 90 days to 8 October 2026 (v1.2.7 and v1.2.8), the latest on 12 August", "CVE-2026-28400 let an unauthenticated caller overwrite files, including the Docker Desktop VM disk, until 1.0.16 in February 2026", "On Docker Engine the docs say model-name requests go to Docker Hub regardless of settings, and the `DO_NOT_TRACK` switch in the source is undocumented" ], "agentNotes": [ "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", "In Docker Desktop, run `docker desktop enable model-runner --tcp 12434` first. Host-side TCP is off by default", "From a container, call `http://model-runner.docker.internal` on Docker Desktop or `http://172.17.0.1:12434` on Docker Engine", "Raise the context before agent work with `docker model configure --context-size \u003cn\u003e \u003cmodel\u003e`. The llama.cpp default is 4,096 tokens", "Name models with their namespace, such as `ai/smollm2`, and expect plain-text error bodies with a 400, 404, 500 or 503 status" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57.1 } ], "editorialScores": { "ergonomics": 58, "maintenance": 55, "payments": 60, "reliability": 85, "schema": 49, "security": 40, "transparency": 62 }, "provenanceScore": 84 }, "connect": { "install": "sudo apt-get update \u0026\u0026 sudo apt-get install docker-model-plugin # Docker Engine on Ubuntu or Debian; Docker Desktop: docker desktop enable model-runner --tcp 12434\ndocker model pull ai/smollm2", "http": "curl http://localhost:12434/engines/v1/chat/completions \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model\": \"ai/smollm2\",\n \"messages\": [{\"role\": \"user\", \"content\": \"Say hello in one sentence.\"}]\n }'", "claudeCode": "docker model launch claude" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/docker-model-runner" }, "sameCompany": [ "docker-agent" ], "area": "models", "provenance": { "legalEntity": "Docker, Inc.", "domain": "docker.com", "domainRegistered": "1995-01-25", "endpointOnVendorDomain": null, "terms": "https://www.docker.com/legal/docker-subscription-service-agreement/", "privacy": "https://www.docker.com/legal/privacy/", "statusPage": "", "changelog": "https://github.com/docker/model-runner/releases", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The repository is under GitHub's docker organisation and SECURITY.md sends reports to security@docker.com. The subscription agreement and privacy policy both name Docker, Inc.", "Docker publishes no terms written for Model Runner. The Docker Subscription Service Agreement (last updated 26 August 2026) governs Docker Desktop, which bundles it, and the privacy policy carries the same date. The Engine plugin and the `dmr` binary are under Apache-2.0 only.", "www.docker.com/.well-known/security.txt gives security@docker.com, a policy URL and an expiry of 1 January 2030.", "No status page is listed because the software runs on the owner's machine.", "RDAP for docker.com gives a registration date of 1995-01-25." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/docker-model-runner.json", "live": { "slug": "docker-model-runner", "pages": [ { "url": "https://www.docker.com/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:27:30.95553924Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "308829465f88" }, { "url": "https://www.docker.com/legal/docker-subscription-service-agreement/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:27:24.912652297Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f8cfdf3308dd" } ], "updatedAt": "2026-10-08T18:27:30.95553924Z" } }, "answer": "Docker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation.", "b": { "slug": "text-generation-webui", "name": "TextGen", "vendor": "oobabooga", "vendorUrl": "https://github.com/oobabooga", "kind": "platform", "category": "local-ai", "summary": "Open-source desktop and browser app for running language models on the owner's hardware, formerly text-generation-webui. With `--api` it serves an OpenAI and Anthropic-compatible local API with tool calling, vision, embeddings and image generation.", "url": "https://www.anchorterminal.com/tools/text-generation-webui", "markdownUrl": "https://www.anchorterminal.com/tools/text-generation-webui.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/text-generation-webui.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/text-generation-webui.json", "repo": "https://github.com/oobabooga/textgen", "license": "AGPL-3.0", "transports": [ "http" ], "packages": [], "auth": "api-key", "authNotes": "The API takes one optional key from `--api-key`, off by default, sent as `Authorization: Bearer` on the OpenAI routes and as `x-api-key` on `/v1/messages`. A second key from `--admin-key` guards model and LoRA loading, unloading and listing, and equals the API key when unset. Keys are set at launch, have no scopes and change only with a restart. Without `--listen` or `--public-api` the server binds 127.0.0.1, rejects other Host headers and limits CORS to localhost. The web UI has no login unless `--gradio-auth` is set.", "pricing": "free", "pricingNotes": "Free and AGPL-3.0, with no account, card or paid edition. Portable builds and source are on GitHub (checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the docs folder or the API source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 47700, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://github.com/oobabooga/textgen/wiki", "capabilities": [ "inference.local", "inference.open-weights", "agent.mcp-client", "embed.text", "image.generate" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "account-free", "openai-compatible", "open-weights", "streaming", "mcp", "docker", "no-telemetry" ], "lastRelease": "2026-05-20", "graded": true, "anchor": { "graded": true, "score": 45.1, "grade": "E", "agentReady": false, "rank": 775, "ranked": true, "rankOf": 842, "categoryRank": 15, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 50, "maintenance": 24, "payments": 60, "reliability": 51, "schema": 61, "security": 40, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -4, "negativeNotes": [ "2026-03-18. Two Critical advisories at 9.1. GHSA-jg96-p5p6-q3cv (CVE-2026-35050) let a user of the web UI write Python files through a path traversal in extension settings and run them, in 4.1 and earlier, fixed in 4.1.1. GHSA-4p45-76cc-7p62 let a caller write or delete files through a character name on instances started with `--listen`, fixed in 4.0. Both fixed and published, -2. https://github.com/oobabooga/textgen/security/advisories/GHSA-jg96-p5p6-q3cv", "2026-03-18. GHSA-fpwc-4mvr-7jpr (High, 7.1). `/v1/chat/completions` and `/v1/completions` fetched any `image_url` from the server side, so a caller could reach internal addresses, in 4.1 and earlier. Fixed in 4.1.1 and published, -1. https://github.com/oobabooga/textgen/security/advisories/GHSA-fpwc-4mvr-7jpr", "2025-10-13 to 2026-04-03. Seven more advisories in the year, four High and three Moderate, among them a file read through an uploaded symbolic link, four path traversals in preset, grammar, template and prompt loading, an SSRF in the superbooga extensions and a Gradio path-check bypass fixed in 4.3. All published with fixes, -1. https://github.com/oobabooga/textgen/security" ], "verdict": "AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.", "bestFor": "A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.", "strengths": [ "AGPL-3.0, with analytics switched off in the source and a README that states zero telemetry", "One server answers `/v1/chat/completions`, `/v1/completions` and Anthropic's `/v1/messages`, with tool calling and streaming", "Since v4.9 the API rejects Host headers other than localhost and 127.0.0.1 and limits CORS to localhost unless `--listen` or `--public-api` is set", "A separate `--admin-key` guards model and LoRA loading, apart from the `--api-key` callers use", "Ten security advisories published on GitHub with patched versions named, the newest on 3 April 2026" ], "weaknesses": [ "No release since v4.9 on 20 May 2026 and no code commit on `main` or `dev` since 31 May 2026", "No test suite. The seven GitHub workflows only build release packages on manual dispatch", "807 open issues and 40 open pull requests, with no SECURITY.md or disclosure address", "Two Critical advisories (9.1) published on 18 March 2026, both path traversals in the web UI, fixed in 4.0 and 4.1.1", "The API key is off by default, set only at launch, and has no scopes or per-client keys", "No rate limits, error list or published OpenAPI file in the docs. The schema is served only by a running server at `/docs`" ], "agentNotes": [ "Ask the owner to launch with `--api`. Nothing listens on port 5000 without it, and a model must be loaded first", "Call `http://127.0.0.1:5000/v1`. Any Host header other than localhost or 127.0.0.1 gets 400 `Invalid host header` unless `--listen` is set", "Send the key as `Authorization: Bearer` on OpenAI routes and as `x-api-key` on `/v1/messages`. Model loading needs the admin key", "Read `http://127.0.0.1:5000/docs` or `modules/api/typing.py` for parameters. `max_tokens` defaults to 512 on chat completions", "Run tool calls yourself. The API returns `finish_reason: \"tool_calls\"` and executes nothing on the server", "Use the repository name `oobabooga/textgen`. The old `text-generation-webui` URL redirects" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 45.1 } ], "editorialScores": { "ergonomics": 50, "maintenance": 24, "payments": 60, "reliability": 51, "schema": 61, "security": 40, "transparency": 70 }, "provenanceScore": 27 }, "connect": { "install": "git clone https://github.com/oobabooga/textgen\ncd textgen\npython -m venv venv\nsource venv/bin/activate\npip install -r requirements/portable/requirements.txt --upgrade\npython server.py --portable --api --auto-launch", "http": "curl http://127.0.0.1:5000/v1/chat/completions \\\n -H \"Content-Type: application/json\" \\\n -d '{\"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}], \"temperature\": 0.6, \"top_p\": 0.95, \"top_k\": 20}'" }, "letme": { "capability": "https://letme.dev/inference.local", "tool": "https://letme.dev/text-generation-webui" }, "area": "models", "provenance": { "legalEntity": "", "domain": "github.com/oobabooga", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/oobabooga/textgen/releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The project belongs to a developer who publishes as oobabooga. The LICENSE is the AGPL-3.0 text and names no legal entity, and the README acknowledges a grant from Andreessen Horowitz in August 2023.", "No vendor domain. The README links only the GitHub repository, its wiki, a subreddit, a Substack and a Hugging Face space.", "No terms of use and no privacy policy were found in the repository, the README or the wiki, so both fields are left out. The README states zero telemetry.", "No SECURITY.md (the Security tab says none is set up) and no security.txt of the project's own.", "There's no hosted endpoint. The API answers on the owner's machine, at 127.0.0.1:5000 by default." ], "score": 27 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/text-generation-webui.json" }, "facts": [ { "a": "HTTP API", "b": "Model platform", "name": "Kind" }, { "a": "Docker, Inc.", "b": "oobabooga", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "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", "b": "AGPL-3.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-08-12", "b": "2026-05-20", "name": "Last release" }, { "a": "2026-08-26", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-26", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "656 stars", "b": "48k stars", "name": "Popularity" } ], "faq": [ { "answer": "Docker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Docker Model Runner or TextGen?" }, { "answer": "No hosted endpoint is listed for Docker Model Runner. No hosted endpoint is listed for TextGen.", "question": "Can an agent call Docker Model Runner and TextGen without installing anything?" }, { "answer": "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). TextGen is open source (AGPL-3.0).", "question": "Are Docker Model Runner and TextGen open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 51", "Agent ergonomics, 58 against 50", "Maintenance \u0026 community, 55 against 24", "Transparency \u0026 trust, 73 against 49" ], "also": [ "No key needed to call it" ], "goodFor": "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.", "slug": "docker-model-runner", "watchFor": "No credential on the API. The docs say any client that can reach it, including other containers, can pull, load and run models" }, { "aheadOn": [ "Schema \u0026 documentation, 61 against 49" ], "also": null, "goodFor": "A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.", "slug": "text-generation-webui", "watchFor": "No release since v4.9 on 20 May 2026 and no code commit on `main` or `dev` since 31 May 2026" } ], "job": { "capability": "inference.local", "name": "Local inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.json", "title": "AnythingLLM vs Docker Model Runner", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner" }, { "json": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.json", "title": "AnythingLLM vs TextGen", "url": "https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local.json", "title": "Docker Model Runner vs Foundry Local", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ghost-core.json", "title": "Docker Model Runner vs Core", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ghost-core" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.json", "title": "Docker Model Runner vs GPT4All", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-jan.json", "title": "Docker Model Runner vs Jan", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-jan" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.json", "title": "Docker Model Runner vs Khoj", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.json", "title": "Docker Model Runner vs KoboldCpp", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade.json", "title": "Docker Model Runner vs Lemonade", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-llama-cpp.json", "title": "Docker Model Runner vs llama.cpp", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-llama-cpp" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lm-studio.json", "title": "Docker Model Runner vs LM Studio", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-lm-studio" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-localai.json", "title": "Docker Model Runner vs LocalAI", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-localai" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-mlx-lm.json", "title": "Docker Model Runner vs MLX LM", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-mlx-lm" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama.json", "title": "Docker Model Runner vs Ollama", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui.json", "title": "Docker Model Runner vs Open WebUI", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-screenpipe.json", "title": "Docker Model Runner vs screenpipe", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-screenpipe" }, { "json": "https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui.json", "title": "Foundry Local vs TextGen", "url": "https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/ghost-core-vs-text-generation-webui.json", "title": "Core vs TextGen", "url": "https://www.anchorterminal.com/compare/ghost-core-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui.json", "title": "GPT4All vs TextGen", "url": "https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/jan-vs-text-generation-webui.json", "title": "Jan vs TextGen", "url": "https://www.anchorterminal.com/compare/jan-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui.json", "title": "Khoj vs TextGen", "url": "https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui.json", "title": "KoboldCpp vs TextGen", "url": "https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui.json", "title": "Lemonade vs TextGen", "url": "https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui.json", "title": "llama.cpp vs TextGen", "url": "https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.json", "title": "LM Studio vs TextGen", "url": "https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/localai-vs-text-generation-webui.json", "title": "LocalAI vs TextGen", "url": "https://www.anchorterminal.com/compare/localai-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/mlx-lm-vs-text-generation-webui.json", "title": "MLX LM vs TextGen", "url": "https://www.anchorterminal.com/compare/mlx-lm-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui.json", "title": "Ollama vs TextGen", "url": "https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui.json", "title": "Open WebUI vs TextGen", "url": "https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/screenpipe-vs-text-generation-webui.json", "title": "screenpipe vs TextGen", "url": "https://www.anchorterminal.com/compare/screenpipe-vs-text-generation-webui" }, { "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-underdog.json", "title": "Docker Model Runner vs Underdog", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-underdog" }, { "json": "https://www.anchorterminal.com/compare/text-generation-webui-vs-underdog.json", "title": "TextGen vs Underdog", "url": "https://www.anchorterminal.com/compare/text-generation-webui-vs-underdog" } ], "scores": [ { "by": 34, "docker-model-runner": 85, "edge": "docker-model-runner", "key": "reliability", "name": "Reliability", "text-generation-webui": 51, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "docker-model-runner": 49, "edge": "text-generation-webui", "key": "schema", "name": "Schema \u0026 documentation", "text-generation-webui": 61, "weight": 13 }, { "by": 8, "docker-model-runner": 58, "edge": "docker-model-runner", "key": "ergonomics", "name": "Agent ergonomics", "text-generation-webui": 50, "weight": 13 }, { "by": 0, "docker-model-runner": 40, "edge": "", "key": "security", "name": "Security \u0026 auth", "text-generation-webui": 40, "weight": 14 }, { "by": 0, "docker-model-runner": 60, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "text-generation-webui": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 31, "docker-model-runner": 55, "edge": "docker-model-runner", "key": "maintenance", "name": "Maintenance \u0026 community", "text-generation-webui": 24, "weight": 7 }, { "by": 24, "docker-model-runner": 73, "edge": "docker-model-runner", "key": "transparency", "name": "Transparency \u0026 trust", "text-generation-webui": 49, "weight": 7 } ], "summary": "Docker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation. Both do local inference.", "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.", "text-generation-webui": "AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui", "json": "https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui.md", "slim": "https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui.min.md" }, "markdown": "Docker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation. Both do local inference.\n\n- Docker Model Runner: grade C, 57.1/100, rank #559 of 842. Markdown https://www.anchorterminal.com/tools/docker-model-runner.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json\n- TextGen: grade E, 45.1/100, rank #775 of 842. Markdown https://www.anchorterminal.com/tools/text-generation-webui.md · JSON https://www.anchorterminal.com/api/v1/tools/text-generation-webui.json\n\n## Which one, for what\n\n### Docker Model Runner (C)\n\nGood 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.\n\nAhead on:\n- Reliability, 85 against 51\n- Agent ergonomics, 58 against 50\n- Maintenance \u0026 community, 55 against 24\n- Transparency \u0026 trust, 73 against 49\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No credential on the API. The docs say any client that can reach it, including other containers, can pull, load and run models\n\n### TextGen (E)\n\nGood for: A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.\n\nAhead on:\n- Schema \u0026 documentation, 61 against 49\n\nWatch for: No release since v4.9 on 20 May 2026 and no code commit on `main` or `dev` since 31 May 2026\n\n\n## Score by category\n\n| Category | Weight | Docker Model Runner | TextGen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 51 | Docker Model Runner +34 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 49 | 61 | TextGen +12 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 50 | Docker Model Runner +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 40 | even |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 55 | 24 | Docker Model Runner +31 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 73 | 49 | Docker Model Runner +24 |\n| Negative events | ≤15 | -3 | -4 | |\n| **Total** | | **57.1 · C** | **45.1 · E** | |\n\n## Facts side by side\n\n| Fact | Docker Model Runner | TextGen |\n| --- | --- | --- |\n| Kind | HTTP API | Model platform |\n| Vendor | Docker, Inc. | oobabooga |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| 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 | AGPL-3.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-08-12 | 2026-05-20 |\n| Terms last updated | 2026-08-26 | no document linked |\n| Privacy policy last updated | 2026-08-26 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 656 stars | 48k stars |\n\n## Verdicts\n\n**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.\n\n**TextGen.** AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.\n\n## Before you call either\n\n### Docker Model Runner\n\n1. 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\n2. In Docker Desktop, run `docker desktop enable model-runner --tcp 12434` first. Host-side TCP is off by default\n3. From a container, call `http://model-runner.docker.internal` on Docker Desktop or `http://172.17.0.1:12434` on Docker Engine\n4. Raise the context before agent work with `docker model configure --context-size \u003cn\u003e \u003cmodel\u003e`. The llama.cpp default is 4,096 tokens\n5. Name models with their namespace, such as `ai/smollm2`, and expect plain-text error bodies with a 400, 404, 500 or 503 status\n\n### TextGen\n\n1. Ask the owner to launch with `--api`. Nothing listens on port 5000 without it, and a model must be loaded first\n2. Call `http://127.0.0.1:5000/v1`. Any Host header other than localhost or 127.0.0.1 gets 400 `Invalid host header` unless `--listen` is set\n3. Send the key as `Authorization: Bearer` on OpenAI routes and as `x-api-key` on `/v1/messages`. Model loading needs the admin key\n4. Read `http://127.0.0.1:5000/docs` or `modules/api/typing.py` for parameters. `max_tokens` defaults to 512 on chat completions\n5. Run tool calls yourself. The API returns `finish_reason: \"tool_calls\"` and executes nothing on the server\n6. Use the repository name `oobabooga/textgen`. The old `text-generation-webui` URL redirects\n\n## Questions\n\n### Which is better for AI agents, Docker Model Runner or TextGen?\n\nDocker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation.\n\n### Can an agent call Docker Model Runner and TextGen without installing anything?\n\nNo hosted endpoint is listed for Docker Model Runner. No hosted endpoint is listed for TextGen.\n\n### Are Docker Model Runner and TextGen open source?\n\nYes. 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). TextGen is open source (AGPL-3.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui.json, and with the fewest tokens: https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"docker-model-runner\", \"b\": \"text-generation-webui\"}`. From a terminal: `anchor compare docker-model-runner text-generation-webui`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/docker-model-runner.json and https://www.anchorterminal.com/api/v1/tools/text-generation-webui.json\n\n## Other comparisons with Docker Model Runner or TextGen\n\n- [AnythingLLM vs Docker Model Runner](https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.md)\n- [AnythingLLM vs TextGen](https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.md)\n- [Docker Model Runner vs Foundry Local](https://www.anchorterminal.com/compare/docker-model-runner-vs-foundry-local.md)\n- [Docker Model Runner vs Core](https://www.anchorterminal.com/compare/docker-model-runner-vs-ghost-core.md)\n- [Docker Model Runner vs GPT4All](https://www.anchorterminal.com/compare/docker-model-runner-vs-gpt4all.md)\n- [Docker Model Runner vs Jan](https://www.anchorterminal.com/compare/docker-model-runner-vs-jan.md)\n- [Docker Model Runner vs Khoj](https://www.anchorterminal.com/compare/docker-model-runner-vs-khoj.md)\n- [Docker Model Runner vs KoboldCpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-koboldcpp.md)\n- [Docker Model Runner vs Lemonade](https://www.anchorterminal.com/compare/docker-model-runner-vs-lemonade.md)\n- [Docker Model Runner vs llama.cpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-llama-cpp.md)\n- [Docker Model Runner vs LM Studio](https://www.anchorterminal.com/compare/docker-model-runner-vs-lm-studio.md)\n- [Docker Model Runner vs LocalAI](https://www.anchorterminal.com/compare/docker-model-runner-vs-localai.md)\n- [Docker Model Runner vs MLX LM](https://www.anchorterminal.com/compare/docker-model-runner-vs-mlx-lm.md)\n- [Docker Model Runner vs Ollama](https://www.anchorterminal.com/compare/docker-model-runner-vs-ollama.md)\n- [Docker Model Runner vs Open WebUI](https://www.anchorterminal.com/compare/docker-model-runner-vs-open-webui.md)\n- [Docker Model Runner vs screenpipe](https://www.anchorterminal.com/compare/docker-model-runner-vs-screenpipe.md)\n- [Foundry Local vs TextGen](https://www.anchorterminal.com/compare/foundry-local-vs-text-generation-webui.md)\n- [Core vs TextGen](https://www.anchorterminal.com/compare/ghost-core-vs-text-generation-webui.md)\n- [GPT4All vs TextGen](https://www.anchorterminal.com/compare/gpt4all-vs-text-generation-webui.md)\n- [Jan vs TextGen](https://www.anchorterminal.com/compare/jan-vs-text-generation-webui.md)\n- [Khoj vs TextGen](https://www.anchorterminal.com/compare/khoj-vs-text-generation-webui.md)\n- [KoboldCpp vs TextGen](https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui.md)\n- [Lemonade vs TextGen](https://www.anchorterminal.com/compare/lemonade-vs-text-generation-webui.md)\n- [llama.cpp vs TextGen](https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui.md)\n- [LM Studio vs TextGen](https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.md)\n- [LocalAI vs TextGen](https://www.anchorterminal.com/compare/localai-vs-text-generation-webui.md)\n- [MLX LM vs TextGen](https://www.anchorterminal.com/compare/mlx-lm-vs-text-generation-webui.md)\n- [Ollama vs TextGen](https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui.md)\n- [Open WebUI vs TextGen](https://www.anchorterminal.com/compare/open-webui-vs-text-generation-webui.md)\n- [screenpipe vs TextGen](https://www.anchorterminal.com/compare/screenpipe-vs-text-generation-webui.md)\n- [Docker Model Runner vs Underdog](https://www.anchorterminal.com/compare/docker-model-runner-vs-underdog.md)\n- [TextGen vs Underdog](https://www.anchorterminal.com/compare/text-generation-webui-vs-underdog.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Docker Model Runner vs TextGen", "url": "" } ], "description": "Docker Model Runner scores 57.1 (C) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema \u0026 documentation. Both do local inference. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Docker Model Runner C 57.1", "TextGen E 45.1", "scores" ], "h1": "Docker Model Runner vs TextGen", "image": "https://www.anchorterminal.com/assets/og/compare-docker-model-runner-vs-text-generation-webui.png", "path": "/compare/docker-model-runner-vs-text-generation-webui", "published": "2026-10-01", "section": "tools", "title": "Docker Model Runner vs TextGen for AI agents, C 57.1 vs E 45.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/docker-model-runner-vs-text-generation-webui" }, "tokens": { "markdown": 2800, "slim": 680 }, "version": 1 }