# Alternatives to Ollama

Run open-weight models locally with one command.

Ollama ranks #5 of 7 in Local LLM runners, with an Alt Score of 78. It is licensed under MIT, freemium from Free and available on macOS, Windows and Linux. 11 of 12 checklist rows are verified against a public source.

Source: https://altcatalog.com/alternatives/ollama/
Category: Local LLM runners

## Overview

- **Who it's for**: Developers and technically inclined users who want to run open-source large language models on their own machine instead of calling a cloud API, whether for privacy, offline use, cost control, or experimentation.
- **What you get**: A CLI and desktop app (macOS, Windows, Linux) for downloading, running, and managing open-weight models like Llama, Mistral, Gemma, Qwen, and DeepSeek. It exposes a local REST API so you can build apps and agents against models running on your own hardware. A model library (ollama.com/library) offers many models in different sizes and quantizations, and Modelfiles let you customize or create model variants.
- **How it works**: You pull a model with a single command (e.g. `ollama run llama3`); Ollama downloads the packaged weights and runs them locally via a background server (default port 11434, using CPU or GPU). The CLI, desktop app, and any API client all talk to this same local server to send prompts and get completions.

## Profile

- **License**: MIT (verified 2026-07-09)
- **Pricing model**: Freemium (verified 2026-07-09)
- **Starts at**: Free (verified 2026-07-09)
- **Platforms**: macOS, Windows, Linux
- **Status**: active (verified 2026-07-09)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [LocalAI](https://altcatalog.com/alternatives/localai.md) | 96 | MIT | Linux, macOS |
| 2 | [Jan](https://altcatalog.com/alternatives/jan.md) | 93 | Apache-2.0 | Windows, macOS, Linux |
| 3 | [LM Studio](https://altcatalog.com/alternatives/lm-studio.md) | 85 | Proprietary (closed source); lms CLI and TypeScript SDK are MIT | Windows, macOS, Linux |
| 4 | [llama.cpp](https://altcatalog.com/alternatives/llamacpp.md) | 81 | MIT | Windows, macOS, Linux |
| 5 | [GPT4All](https://altcatalog.com/alternatives/gpt4all.md) | 70 | MIT | Windows, macOS, Linux |
| 6 | [Open WebUI](https://altcatalog.com/alternatives/open-webui.md) | 66 | Open WebUI License (BSD-3-Clause-based with branding restriction) | Linux, Windows, macOS, Web |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| Local LLM runners checklist | Ollama | LocalAI | Jan | LM Studio | llama.cpp | GPT4All |
|---|---|---|---|---|---|---|
| Pricing model | Freemium | Free | Free | Free | Free | Free |
| Starts at | Free | Free | Free | Free | Free | Free |
| License | MIT | MIT | Apache-2.0 | Proprietary (closed source); lms CLI and TypeScript SDK are MIT | MIT | MIT |
| Platforms | macOS, Windows, Linux | Linux, macOS | Windows, macOS, Linux | Windows, macOS, Linux | Windows, macOS, Linux | Windows, macOS, Linux |
| GGUF model support | Yes | Yes | Yes | Yes | Yes | Yes |
| GPU acceleration | Yes | Yes | Yes | Yes | Yes | Yes |
| OpenAI-compatible API server | Yes | Yes | Yes | Yes | Yes | Yes |
| Built-in model library | Yes | Yes | Yes | Yes | No | Yes |
| Chat UI included | No | Yes | Yes | Yes | Yes | Yes |
| CLI | Yes | Yes | Yes | Yes | Yes | ? |
| Multi-modal (vision) support | Yes | Yes | Yes | Yes | Yes | ? |
| Quantization options | Yes | Yes | Yes | Yes | Yes | Yes |
| Runs fully offline | ? | Yes | Yes | Yes | Yes | ? |
| Open source | Yes | Yes | Yes | No | Yes | Yes |
| Model fine-tuning | No | Yes | No | ? | No | ? |
| Hardware requirements shown | Yes | Partial | Yes | Yes | Partial | Yes |

## Sources

Sources for Ollama. Each alternative is sourced on its own page.

- **Pricing model**: Freemium — <https://ollama.com/pricing> (verified 2026-07-09)
  - Note: Local runner free/OSS; paid cloud tiers (Pro/Max) for cloud models.
  - Quote: “Free
$0
...
Pro
$20 / mo
or $200/yr billed annually
...
Max
$100 / mo”
- **Starts at**: Free — <https://ollama.com/pricing> (verified 2026-07-09)
  - Quote: “Free
$0
Access cloud models”
- **Status**: active — <https://github.com/ollama/ollama> (verified 2026-07-09)
  - Quote: “Start building with open models. ... openai-compatible REST API, CLI and library support”
- **License**: MIT — <https://raw.githubusercontent.com/ollama/ollama/main/LICENSE> (verified 2026-07-09)
  - Quote: “MIT License

Copyright (c) Ollama

Permission is hereby granted, free of charge, to any person obtaining a copy of this software”
- **Platforms**: macOS, Windows, Linux — <https://ollama.com/download> (verified 2026-07-09)
  - Quote: “Download Ollama
macOS
Linux
Windows”
- **GGUF model support**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/import.mdx> (verified 2026-07-09)
  - Quote: “## Importing a GGUF based model or adapter ... If you have a GGUF based model or adapter it is possible to import it into Ollama.”
- **GPU acceleration**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/gpu.mdx> (verified 2026-07-09)
  - Quote: “Ollama supports Nvidia GPUs with compute capability 5.0+ ... Ollama supports GPU acceleration on Apple devices via the Metal API.”
- **OpenAI-compatible API server**: Yes — <https://docs.ollama.com/api/openai> (verified 2026-07-09)
  - Quote: “Ollama provides compatibility with parts of the OpenAI API to help connect existing applications to Ollama.”
- **Built-in model library**: Yes — <https://ollama.com/library> (verified 2026-07-09)
  - Quote: “Browse Ollama's library of models. ... llama3.1 deepseek-r1 nomic-embed-text llama3.2”
- **Chat UI included**: No — <https://ollama.com/download> (verified 2026-07-09)
  - Note: Install is CLI/server; chat UIs (Open WebUI etc.) are third-party per the README.
  - Quote: “Download Ollama
macOS
Linux
Windows”
- **CLI**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/cli.mdx> (verified 2026-07-09)
  - Quote: “### Run a model
```
ollama run gemma4
```”
- **Multi-modal (vision) support**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/capabilities/vision.mdx> (verified 2026-07-09)
  - Quote: “Vision models accept images alongside text so the model can describe, classify, and answer questions about what it sees.”
- **Quantization options**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/import.mdx> (verified 2026-07-09)
  - Quote: “Ollama can quantize FP16 and FP32 based models into different quantization levels using the `-q/--quantize` flag with the `ollama create` command.”
- **Open source**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/LICENSE> (verified 2026-07-09)
  - Quote: “MIT License

Copyright (c) Ollama

Permission is hereby granted, free of charge, to any person obtaining a copy of this software”
- **Model fine-tuning**: No — <https://raw.githubusercontent.com/ollama/ollama/main/docs/import.mdx> (verified 2026-07-09)
  - Note: Imports already fine-tuned adapters; does not perform fine-tuning itself.
  - Quote: “Importing a fine tuned adapter from Safetensors weights ... create a `Modelfile` with a `FROM` command pointing at the base model you used for fine tuning”
- **Hardware requirements shown**: Yes — <https://raw.githubusercontent.com/ollama/ollama/main/docs/gpu.mdx> (verified 2026-07-09)
  - Quote: “Ollama supports Nvidia GPUs with compute capability 5.0+ and driver version 550 and newer. ... Ollama requires the AMD ROCm v7 driver on Linux.”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/