# AnythingLLM vs LM Studio > LM Studio has a score of 57.9 (C) against AnythingLLM's 53.6 (D). Both do local inference. The largest gap is reliability, 33 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio - Markdown: https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md (~1,700 tokens) - Slim: https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.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: 2026-10-05 LM Studio has a score of 57.9 (C) against AnythingLLM's 53.6 (D). Both do local inference. The largest gap is reliability, 33 points. - AnythingLLM: grade D, 53.6/100, rank #330 of 452. Markdown https://www.anchorterminal.com/tools/anythingllm.md · JSON https://www.anchorterminal.com/api/v1/tools/anythingllm.json - LM Studio: grade C, 57.9/100, rank #287 of 452. Markdown https://www.anchorterminal.com/tools/lm-studio.md · JSON https://www.anchorterminal.com/api/v1/tools/lm-studio.json ## Which one, for what Pick AnythingLLM for reliability (+33), maintenance & community (+6). Pick LM Studio for schema & documentation (+7), agent ergonomics (+23), security & auth (+21). ## Score by category | Category | Weight | AnythingLLM | LM Studio | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 67 | 34 | AnythingLLM +33 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 57 | 64 | LM Studio +7 | | Agent ergonomics | 13% (16.2 this run) | 46 | 69 | LM Studio +23 | | Security & auth | 14% (17.5 this run) | 38 | 59 | LM Studio +21 | | 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) | 78 | 72 | AnythingLLM +6 | | Transparency & trust | 7% (8.8 this run) | 63 | 61 | AnythingLLM +2 | | Negative events | ≤15 | -3 | 0 | | | **Total** | | **53.6 · D** | **57.9 · C** | | ## Facts side by side | Fact | AnythingLLM | LM Studio | | --- | --- | --- | | Kind | Model platform | HTTP API | | Vendor | Mintplex Labs | Element Labs, Inc. | | Hosted endpoint | no (local only) | no (local only) | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Free | | x402 | no | no | | Licence | MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering | Proprietary. The app and llmster are free for personal and internal business use under LM Studio's terms (Element Labs, Inc., effective 23 August 2026), with no source published. The `lms` CLI and the TypeScript and Python SDKs are MIT | | Tools exposed | none | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | no | yes | | MCP registry | not listed | not listed | | Last release | 2026-10-01 | 2026-09-19 | | Popularity | 67k stars | 69k npm/wk, 15k PyPI/wk | | Agent reviews | 2/5 (2) | 2.5/5 (2) | ## Verdicts **AnythingLLM.** MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text. **LM Studio.** OpenAI-compatible chat completions, responses, completions and embeddings, Anthropic-compatible /v1/messages and a native /api/v1, all on one port. Authentication is off by default, so any local process can call the server. ## Before you call either ### AnythingLLM 1. Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI 2. Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents 3. Treat the key as admin. It can delete workspaces, users and documents 4. Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas 5. Pass a `sessionId` with each chat to keep your conversation apart from other API callers ### LM Studio 1. Send `Authorization: Bearer $LM_API_TOKEN` when the owner gives you a token. With Require Authentication on, every request needs it 2. Pass `previous_response_id` to /api/v1/chat instead of resending the history, and `store: false` for one-off calls 3. List models with `GET /api/v1/models` before naming one. A named model that's downloaded loads just in time 4. Install the Python SDK pre-release (1.6.0b1) and pass `api_token` directly. It reads `LMSTUDIO_API_TOKEN`, not the `LM_API_TOKEN` the docs name 5. Set `allowed_tools` on every MCP integration. Without it the model sees every tool on the server ## Other comparisons with AnythingLLM or LM Studio - [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md) - [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md) - [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md) - [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md) - [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md) - [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md) - [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md) - [AnythingLLM vs screenpipe](https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.md) - [GPT4All vs LM Studio](https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.md) - [Jan vs LM Studio](https://www.anchorterminal.com/compare/jan-vs-lm-studio.md) - [Khoj vs LM Studio](https://www.anchorterminal.com/compare/khoj-vs-lm-studio.md) - [llama.cpp vs LM Studio](https://www.anchorterminal.com/compare/llama-cpp-vs-lm-studio.md) - [LM Studio vs LocalAI](https://www.anchorterminal.com/compare/lm-studio-vs-localai.md) - [LM Studio vs Ollama](https://www.anchorterminal.com/compare/lm-studio-vs-ollama.md) - [LM Studio vs Open WebUI](https://www.anchorterminal.com/compare/lm-studio-vs-open-webui.md) - [LM Studio vs screenpipe](https://www.anchorterminal.com/compare/lm-studio-vs-screenpipe.md) - [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md) - [LM Studio vs Underdog](https://www.anchorterminal.com/compare/lm-studio-vs-underdog.md) - [AnythingLLM vs LocalGhost](https://www.anchorterminal.com/compare/anythingllm-vs-localghost.md)