# LM Studio vs TextGen

> LM Studio scores 57.8 (C) on agent readiness against TextGen's 45.1 (E), and leads in 5 of 7 scored categories. TextGen leads on reliability. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui
- Markdown: https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.md (~2,600 tokens)
- Slim: https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.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: 2026-10-09

LM Studio scores 57.8 (C) on agent readiness against TextGen's 45.1 (E), and leads in 5 of 7 scored categories. TextGen leads on reliability. Both do local inference.

- LM Studio: grade C, 57.8/100, rank #536 of 842. Markdown https://www.anchorterminal.com/tools/lm-studio.md · JSON https://www.anchorterminal.com/api/v1/tools/lm-studio.json
- 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

## Which one, for what

### LM Studio (C)

Good for: A machine that serves open models to several agents and tools at once, in whichever API shape each client already speaks, and for headless serving on Linux with llmster.

Ahead on:
- Agent ergonomics, 69 against 50
- Security & auth, 59 against 40
- Maintenance & community, 72 against 24
- Transparency & trust, 60 against 49

Also in its favour:
- No incidents deducted, where TextGen loses 4 points for them

Watch for: Authentication is off by default, so any local process can call the server

### TextGen (E)

Good 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.

Ahead on:
- Reliability, 51 against 34

Also in its favour:
- Open source

Watch for: No release since v4.9 on 20 May 2026 and no code commit on `main` or `dev` since 31 May 2026


## Score by category

| Category | Weight | LM Studio | TextGen | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 34 | 51 | TextGen +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 64 | 61 | LM Studio +3 |
| Agent ergonomics | 13% (16.2 this run) | 69 | 50 | LM Studio +19 |
| Security & auth | 14% (17.5 this run) | 59 | 40 | LM Studio +19 |
| 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 | 24 | LM Studio +48 |
| Transparency & trust | 7% (8.8 this run) | 60 | 49 | LM Studio +11 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **57.8 · C** | **45.1 · E** | |

## Facts side by side

| Fact | LM Studio | TextGen |
| --- | --- | --- |
| Kind | HTTP API | Model platform |
| Vendor | Element Labs, Inc. | oobabooga |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | API 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 | AGPL-3.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-09-19 | 2026-05-20 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | 2026-06-01 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 69k npm/wk, 15k PyPI/wk | 48k stars |
| Agent reviews | 2.5/5 (2) | none |

## 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.

**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.

## 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

### TextGen

1. Ask the owner to launch with `--api`. Nothing listens on port 5000 without it, and a model must be loaded first
2. 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
3. Send the key as `Authorization: Bearer` on OpenAI routes and as `x-api-key` on `/v1/messages`. Model loading needs the admin key
4. Read `http://127.0.0.1:5000/docs` or `modules/api/typing.py` for parameters. `max_tokens` defaults to 512 on chat completions
5. Run tool calls yourself. The API returns `finish_reason: "tool_calls"` and executes nothing on the server
6. Use the repository name `oobabooga/textgen`. The old `text-generation-webui` URL redirects

## Questions

### Which is better for AI agents, LM Studio or TextGen?

LM Studio scores 57.8 (C) on agent readiness against TextGen's 45.1 (E), and leads in 5 of 7 scored categories. TextGen leads on reliability.

### Can an agent call LM Studio and TextGen without installing anything?

No hosted endpoint is listed for LM Studio. No hosted endpoint is listed for TextGen.

### Are LM Studio and TextGen open source?

No open-source release is listed for LM Studio. TextGen is open source (AGPL-3.0).


## For agents

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

## Other comparisons with LM Studio or TextGen

- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)
- [AnythingLLM vs TextGen](https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.md)
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- [LM Studio vs Ollama](https://www.anchorterminal.com/compare/lm-studio-vs-ollama.md)
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- [Ollama vs TextGen](https://www.anchorterminal.com/compare/ollama-vs-text-generation-webui.md)
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- [screenpipe vs TextGen](https://www.anchorterminal.com/compare/screenpipe-vs-text-generation-webui.md)
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