# KoboldCpp vs LM Studio

> KoboldCpp scores 60.5 (C) on agent readiness against LM Studio's 57.8 (C), and leads in 3 of 7 scored categories. LM Studio leads on agent ergonomics, security & auth and transparency & trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

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

KoboldCpp scores 60.5 (C) on agent readiness against LM Studio's 57.8 (C), and leads in 3 of 7 scored categories. LM Studio leads on agent ergonomics, security & auth and transparency & trust. Both do local inference.

- KoboldCpp: grade C, 60.5/100, rank #462 of 842. Markdown https://www.anchorterminal.com/tools/koboldcpp.md · JSON https://www.anchorterminal.com/api/v1/tools/koboldcpp.json
- 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

## Which one, for what

### KoboldCpp (C)

Good for: An owner who wants text, image, speech and music models behind one executable with a writing and roleplay interface, and clients that speak the KoboldAI, OpenAI, Ollama or Anthropic formats.

Ahead on:
- Reliability, 68 against 34
- Maintenance & community, 82 against 72

Also in its favour:
- No key needed to call it
- Open source

Watch for: With no `--host` the server accepts connections on all routable interfaces, and no password is set by default

### 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 63
- Security & auth, 59 against 38
- Transparency & trust, 60 against 49

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


## Score by category

| Category | Weight | KoboldCpp | LM Studio | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 68 | 34 | KoboldCpp +34 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 68 | 64 | KoboldCpp +4 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 69 | LM Studio +6 |
| 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) | 82 | 72 | KoboldCpp +10 |
| Transparency & trust | 7% (8.8 this run) | 49 | 60 | LM Studio +11 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **60.5 · C** | **57.8 · C** | |

## Facts side by side

| Fact | KoboldCpp | LM Studio |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | LostRuins (Concedo) | 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 | AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT | 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 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-27 | 2026-09-19 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | 2026-06-01 |
| 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 | 12k stars | 69k npm/wk, 15k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |

## Verdicts

**KoboldCpp.** One file runs text, image, speech and music models behind a published OpenAPI 3.0.3 document, with eight releases in 90 days. The server listens on every interface with no password by default, and `--password` leaves the image routes open.

**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

### KoboldCpp

1. Start with `--host 127.0.0.1` and `--password`. The default listens on every interface with no key
2. Send the password as `Authorization: Bearer <password>`. It is not read from the query string
3. Treat 503 as both busy and rate limited. The server never sends 429 or `Retry-After`, and the wait in seconds is in `detail.msg`
4. Pass `max_length` or `max_tokens`. The default is 2,048 tokens unless `--defaultgenamt` changes it
5. Send a `genkey` with each generation so `/api/extra/generate/check` and `/api/extra/abort` act on your request and not another caller's

### 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

## Questions

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

KoboldCpp scores 60.5 (C) on agent readiness against LM Studio's 57.8 (C), and leads in 3 of 7 scored categories. LM Studio leads on agent ergonomics, security & auth and transparency & trust.

### Do KoboldCpp and LM Studio need an API key?

KoboldCpp needs no key. LM Studio needs an API key.

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

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

### Are KoboldCpp and LM Studio open source?

KoboldCpp is open source (AGPL-3.0 for KoboldCpp and KoboldAI Lite. The bundled GGML, llama.cpp and stable-diffusion.cpp code stays under MIT). No open-source release is listed for LM Studio.


## For agents

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

## Other comparisons with KoboldCpp or LM Studio

- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)
- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)
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- [KoboldCpp vs LocalAI](https://www.anchorterminal.com/compare/koboldcpp-vs-localai.md)
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- [KoboldCpp vs TextGen](https://www.anchorterminal.com/compare/koboldcpp-vs-text-generation-webui.md)
- [Lemonade vs LM Studio](https://www.anchorterminal.com/compare/lemonade-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 MLX LM](https://www.anchorterminal.com/compare/lm-studio-vs-mlx-lm.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)
- [LM Studio vs TextGen](https://www.anchorterminal.com/compare/lm-studio-vs-text-generation-webui.md)
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