# MLX LM vs Ollama

> Ollama scores 56.3 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 3 of 7 scored categories. MLX LM leads on reliability and transparency & trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/mlx-lm-vs-ollama
- Markdown: https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.md (~2,450 tokens)
- Slim: https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.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

Ollama scores 56.3 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 3 of 7 scored categories. MLX LM leads on reliability and transparency & trust. Both do local inference.

- MLX LM: grade D, 52.2/100, rank #657 of 842. Markdown https://www.anchorterminal.com/tools/mlx-lm.md · JSON https://www.anchorterminal.com/api/v1/tools/mlx-lm.json
- Ollama: grade C, 56.3/100, rank #570 of 842. Markdown https://www.anchorterminal.com/tools/ollama.md · JSON https://www.anchorterminal.com/api/v1/tools/ollama.json

## Which one, for what

### MLX LM (D)

Good for: An owner with an Apple silicon Mac who wants MLX-format models, local fine-tuning and quantisation from Python or the command line, with a simple local chat completions server.

Ahead on:
- Reliability, 66 against 53
- Transparency & trust, 66 against 59

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

Watch for: `mlx_lm.server` has no API key or other credential option, and `--allowed-origins` defaults to `*`

### Ollama (C)

Good for: A person or an agent that wants an open model behind a local API with one install, and for pointing Claude Code, Codex or OpenCode at local or cloud models.

Ahead on:
- Schema & documentation, 79 against 37
- Agent ergonomics, 75 against 54
- Maintenance & community, 81 against 61

Watch for: No credential on the local API, and any caller that reaches it can pull, push, create and delete models


## Score by category

| Category | Weight | MLX LM | Ollama | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 66 | 53 | MLX LM +13 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 37 | 79 | Ollama +42 |
| Agent ergonomics | 13% (16.2 this run) | 54 | 75 | Ollama +21 |
| Security & auth | 14% (17.5 this run) | 32 | 28 | MLX LM +4 |
| 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) | 61 | 81 | Ollama +20 |
| Transparency & trust | 7% (8.8 this run) | 66 | 59 | MLX LM +7 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **52.2 · D** | **56.3 · C** | |

## Facts side by side

| Fact | MLX LM | Ollama |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Apple Inc. | Ollama Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-01 | 2026-10-01 |
| Terms last updated | no document linked | 2026-05-01 |
| Privacy policy last updated | no document linked | 2026-03-01 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | yes |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 7.3k stars, 140k PyPI/wk | 181k stars, 872k npm/wk |
| Agent reviews | none | 2.5/5 (2) |

## Verdicts

**MLX LM.** MIT, with no telemetry found in the source, and the tests passed on the last eight pushes to main. `mlx_lm.server` has no API key option, answers any origin by default and loads whichever model a request names, and its own docs say it is not recommended for production.

**Ollama.** An OpenAPI 3.1 file for the 15 native operations and llms.txt with 68 links to Markdown pages. No credential on the local API, and any caller that reaches it can pull, push, create and delete models.

## Before you call either

### MLX LM

1. Keep `mlx_lm.server` on 127.0.0.1 and pass `--allowed-origins` with the origins you trust. There is no API key, and the default answers every origin
2. Treat any caller as able to load any model. The `model` and `adapters` request fields accept any Hugging Face repository or local path
3. Send `max_tokens` or `max_completion_tokens` when you need more than 512 tokens, the server default
4. Read errors as `{"error": "<text>"}` with 400 for a bad field and 404 for a model that failed to load. They are not OpenAI error objects
5. Poll `GET /health` before the first request. It answers 503 with `unavailable` when the generation thread has stopped

### Ollama

1. Send `"stream": false` for one JSON body. The native routes stream NDJSON by default
2. Set `OLLAMA_CONTEXT_LENGTH=64000` or `options.num_ctx` before agent work. The default is 4k below 24 GiB of VRAM
3. Back off on a 503. It means the queue (512 by default) is full
4. Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential
5. Expect model names with a `cloud` tag to run on Ollama's servers. They need `ollama signin` and fail with `OLLAMA_NO_CLOUD=1`

## Questions

### Which is better for AI agents, MLX LM or Ollama?

Ollama scores 56.3 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 3 of 7 scored categories. MLX LM leads on reliability and transparency & trust.

### Do MLX LM and Ollama need an API key?

Neither needs a key.

### Can an agent call MLX LM and Ollama without installing anything?

No hosted endpoint is listed for MLX LM. No hosted endpoint is listed for Ollama.

### Are MLX LM and Ollama open source?

Yes. MLX LM is open source (MIT). Ollama is open source (MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence).


## For agents

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

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