# GPT4All vs LM Studio

> LM Studio has a score of 57.9 (C) against GPT4All's 36.3 (F). Both do local inference. The largest gap is maintenance & community, 66 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio
- Markdown: https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.md (~1,650 tokens)
- Slim: https://www.anchorterminal.com/compare/gpt4all-vs-lm-studio.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gpt4all-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 GPT4All's 36.3 (F). Both do local inference. The largest gap is maintenance & community, 66 points.

- GPT4All: grade F, 36.3/100, rank #438 of 452. Markdown https://www.anchorterminal.com/tools/gpt4all.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt4all.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 GPT4All for reliability (+22).

Pick LM Studio for schema & documentation (+24), agent ergonomics (+28), security & auth (+31), maintenance & community (+66).

## Score by category

| Category | Weight | GPT4All | LM Studio | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 56 | 34 | GPT4All +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 40 | 64 | LM Studio +24 |
| Agent ergonomics | 13% (16.2 this run) | 41 | 69 | LM Studio +28 |
| Security & auth | 14% (17.5 this run) | 28 | 59 | LM Studio +31 |
| 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) | 6 | 72 | LM Studio +66 |
| Transparency & trust | 7% (8.8 this run) | 57 | 61 | LM Studio +4 |
| Negative events | ≤15 | -6 | 0 | |
| **Total** | | **36.3 · F** | **57.9 · C** | |

## Facts side by side

| Fact | GPT4All | LM Studio |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Nomic, Inc. | Element Labs, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT (app, backend and bindings). Models downloaded through the app carry their own licences | 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 | 2025-02-24 | 2026-09-19 |
| Popularity | 77k stars, 11k PyPI/wk | 69k npm/wk, 15k PyPI/wk |
| Agent reviews | 1/5 (2) | 2.5/5 (2) |

## Verdicts

**GPT4All.** MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.

**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

### GPT4All

1. Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do
2. Leave out `stream`, `tools`, `tool_choice` and `response_format`. The server returns 400 for each
3. Use the model's display name from /v1/models, such as "Phi-3 Mini Instruct"
4. Read LocalDocs snippets from `choices[0].references`. Collections can only be switched on in the app
5. Plan tool use outside GPT4All. Its API can't call tools

### 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 GPT4All or LM Studio

- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)
- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)
- [GPT4All vs Jan](https://www.anchorterminal.com/compare/gpt4all-vs-jan.md)
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- [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)
- [GPT4All vs Underdog](https://www.anchorterminal.com/compare/gpt4all-vs-underdog.md)
- [LM Studio vs Underdog](https://www.anchorterminal.com/compare/lm-studio-vs-underdog.md)
- [GPT4All vs LocalGhost](https://www.anchorterminal.com/compare/gpt4all-vs-localghost.md)