# LM Studio vs LocalAI > LocalAI has a score of 68 (B) against LM Studio's 57.9 (C). Both do local inference. The largest gap is reliability, 50 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/lm-studio-vs-localai - Markdown: https://www.anchorterminal.com/compare/lm-studio-vs-localai.md (~1,650 tokens) - Slim: https://www.anchorterminal.com/compare/lm-studio-vs-localai.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/lm-studio-vs-localai.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 LocalAI has a score of 68 (B) against LM Studio's 57.9 (C). Both do local inference. The largest gap is reliability, 50 points. - 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 - LocalAI: grade B, 68/100, rank #133 of 452. Markdown https://www.anchorterminal.com/tools/localai.md · JSON https://www.anchorterminal.com/api/v1/tools/localai.json ## Which one, for what Pick LM Studio for transparency & trust (+14). Pick LocalAI for reliability (+50), schema & documentation (+17), maintenance & community (+8). ## Score by category | Category | Weight | LM Studio | LocalAI | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 34 | 84 | LocalAI +50 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 64 | 81 | LocalAI +17 | | Agent ergonomics | 13% (16.2 this run) | 69 | 71 | LocalAI +2 | | Security & auth | 14% (17.5 this run) | 59 | 62 | LocalAI +3 | | 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) | 72 | 80 | LocalAI +8 | | Transparency & trust | 7% (8.8 this run) | 61 | 47 | LM Studio +14 | | Negative events | ≤15 | 0 | -3 | | | **Total** | | **57.9 · C** | **68 · B** | | ## Facts side by side | Fact | LM Studio | LocalAI | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Element Labs, Inc. | Ettore Di Giacinto and the LocalAI team | | Hosted endpoint | no (local only) | no (local only) | | Transports | HTTP | HTTP, stdio | | Auth | API key | OAuth or key | | Pricing | Free | Free | | x402 | no | no | | Licence | 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 | MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence | | Tools exposed | none | 42 | | 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 | yes | | llms.txt | yes | no | | MCP registry | not listed | not listed | | Last release | 2026-09-19 | 2026-10-02 | | Popularity | 69k npm/wk, 15k PyPI/wk | 48k stars | | Agent reviews | 2.5/5 (2) | 3/5 (2) | ## Verdicts **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. **LocalAI.** MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin. ## Before you call either ### 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 ### LocalAI 1. Send `Authorization: Bearer ` when the operator has set keys. A 401 means the instance has auth on 2. Read /.well-known/localai.json and /api/instructions first. Both answer without a key and list what this instance can do 3. Back off on 429 and 503 for the Retry-After seconds. A 503 can mean the model is still loading 4. Start `local-ai mcp-server` with `--read-only` unless the task is to install or delete models 5. Take model names from /v1/models. Each instance names its own ## Other comparisons with LM Studio or LocalAI - [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md) - [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.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) - [Jan vs LM Studio](https://www.anchorterminal.com/compare/jan-vs-lm-studio.md) - [Jan vs LocalAI](https://www.anchorterminal.com/compare/jan-vs-localai.md) - [Khoj vs LM Studio](https://www.anchorterminal.com/compare/khoj-vs-lm-studio.md) - [Khoj vs LocalAI](https://www.anchorterminal.com/compare/khoj-vs-localai.md) - [llama.cpp vs LM Studio](https://www.anchorterminal.com/compare/llama-cpp-vs-lm-studio.md) - [llama.cpp vs LocalAI](https://www.anchorterminal.com/compare/llama-cpp-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) - [LocalAI vs Ollama](https://www.anchorterminal.com/compare/localai-vs-ollama.md) - [LocalAI vs Open WebUI](https://www.anchorterminal.com/compare/localai-vs-open-webui.md) - [LocalAI vs screenpipe](https://www.anchorterminal.com/compare/localai-vs-screenpipe.md) - [LM Studio vs Underdog](https://www.anchorterminal.com/compare/lm-studio-vs-underdog.md) - [LocalAI vs Underdog](https://www.anchorterminal.com/compare/localai-vs-underdog.md)