Last checked November 12, 2026
Free alternatives to Ollama Cloud
Ollama Cloud is the hosted half of Ollama. The pricing page checked November 12, 2026 lists Pay as you go at $0, with the line Pay per token for every cloud model. The same card includes running models locally, no subscription, 3 concurrent requests, and no service fees. The usage FAQ says running models on your own hardware is always unlimited, and that a Pay as you go account pays for each cloud request with usage credits. Pro is $20 a month with $60 of usage credits. Max is $100 a month with $300 of usage credits. Team is $500 a month with $1,000 of shared usage credits. The August 31, 2026 pricing post still describes a free plan with a small monthly allowance for a set of starter models. The pricing page checked November 12 does not list that allowance, and it does not print the day the allowance ended.
- The pay-as-you-go row is on the price tracker. 2026 SaaS price increases
- Point the client at the machine you already have. Nothing imports the cloud credit balance. Move from Ollama Cloud to Ollama
- The local app. The license is MIT. Ollama
- Sourcegraph Cody reaches end of life on January 31, 2027. It is a different coding-assistant shutdown. Free alternatives to Sourcegraph Cody
- Other developer tools on this site. DevOps
What you pay for Ollama Cloud
Pay as you go is $0 and bills every cloud model per token. Running a model on your own hardware is unlimited. The page does not print when the old free allowance ended.
Checked November 12, 2026 on https://ollama.com/pricing. Pay as you go is $0 and says Pay per token for every cloud model, with 3 concurrent requests and no service fees. Pro is $20 a month, or $200 a year, and includes $60 of usage credits. The yearly card also shows $16.67 a month. Max is $100 a month with $300 of usage credits and 10 concurrent requests. Team, marked early access, is $500 a month with unlimited users and $1,000 of shared usage credits. Enterprise is custom. The model table is per million tokens. gpt-oss:20b is $0.07 input and $0.30 output. gpt-oss:120b is $0.15 input and $0.60 output. Off-peak rates apply outside 12:00 to 18:00 UTC on weekdays and all day on weekends. Unused included usage does not roll over. https://ollama.com/blog/transparent-pricing, dated August 31, 2026, says the free plan includes a small amount of monthly usage for a set of starter models. That sentence is not on the pricing page checked November 12.
Who it is for
For developers and individuals. Its price on file: Pay as you go is $0 and bills every cloud model per token. Running a model on your own hardware is unlimited. The page does not print when the old free allowance ended. It is in the DevOps group.
How to switch
The closest free app on the checklist is Ollama. Cost and details. Move from Ollama Cloud to Ollama.
Run the model on your own machine
These scores are from the checklist on this page. A full score means it matches our checklist. It is not a drop-in replacement. We check each app against public docs and price pages.
Ollama is #1 (100). llama.cpp is #2 (90). vLLM is #3 (90).
Ollama
#1 · Closest
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.llama.cpp
#2
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.You only get part of: a catalog of open models you can pull by name.
vLLM
#3
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.You only get part of: a catalog of open models you can pull by name.
Where they differ
A catalog of open models you can pull by name
Worth 8 points. Ollama does all of it. The README points at ollama.com/library and shows ollama run gemma4. Those are the same names the cloud model table uses. llama.cpp does part of it. The README pulls a GGUF from Hugging Face with llama serve -hf. That is not the Ollama library name, such as gemma4, from ollama.com/library. vLLM does part of it. The README says it loads Hugging Face models, including Llama, Qwen, Gemma, and GPT-OSS. Those are architecture names, not the Ollama library tag you pass to ollama run.
Ollama, llama.cpp, and vLLM do all of these: run a model on hardware you control, an http api for chat, prompts are not used to train a hosted model, and no per-token fee for the run.
llama.cpp (#2) and vLLM (#3) score 90 with the same share of the checklist checked. The order follows that tie.
Open WebUI
No scoreA web interface listed in the Ollama README. It needs a model server behind it. Not scored on this checklist.
How close is it?
How this worksA full score means it matches our checklist. It is not a drop-in replacement. #1 is the closest free app that did not pay us. An ad, when one is sold, is marked and sits after #1. Paying does not change the score. Open source means you can use, change, and share the code. Run it yourself means the app can live on a computer you control.
- #1 · ClosestOpen source
Ollama
Run open models on your own computer. The license is MIT.
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.Last checked November 12, 2026 · License: MIT
MacWindowsLinuxRun it yourself - #2Open source
llama.cpp
LLM inference in C and C++. The license is MIT. llama-server speaks an OpenAI-style API.
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.You only get part of: a catalog of open models you can pull by name.
Last checked November 12, 2026 · License: MIT
MacWindowsLinuxRun it yourself - #3Open source
vLLM
An Apache-2.0 model server with an OpenAI-compatible API.
5 of 5 checked features. A full score means it matches our checklist. It is not a drop-in replacement.You only get part of: a catalog of open models you can pull by name.
Last checked November 12, 2026 · License: Apache-2.0
LinuxMacRun it yourself
Feature by feature
Full means it does the whole job. Partial means it does some of it. Missing means it does not. Not checked counts as zero. The number under each feature is how much it counts. A bigger number moves the score more.
Scroll sideways to see every app.
| Feature | Ollama#1 · 1005 of 5 checked features | llama.cpp#2 · 905 of 5 checked features | vLLM#3 · 905 of 5 checked features |
|---|---|---|---|
| Run a model on hardware you controlCounts for 10 | FullThe README's get-started path is ollama run on the computer where you installed it. The pricing FAQ says local runs are always unlimited. | FullThe server README says inference runs on GPU and CPU. You start llama-server on a machine you control. | FullThe README is an install on hardware you operate, including NVIDIA, AMD, Intel, CPUs, and an Apple Silicon plugin. |
| An HTTP API for chatCounts for 8 | FullThe README shows a POST to http://localhost:11434/api/chat with a model name and a messages array. | FullThe server README documents OpenAI-compatible /v1/chat/completions and says a web UI is included. | FullThe README says the project includes an OpenAI-compatible API server, plus tool calling. |
| A catalog of open models you can pull by nameCounts for 8 | FullThe README points at ollama.com/library and shows ollama run gemma4. Those are the same names the cloud model table uses. | PartialThe README pulls a GGUF from Hugging Face with llama serve -hf. That is not the Ollama library name, such as gemma4, from ollama.com/library. | PartialThe README says it loads Hugging Face models, including Llama, Qwen, Gemma, and GPT-OSS. Those are architecture names, not the Ollama library tag you pass to ollama run. |
| Prompts are not used to train a hosted modelCounts for 6 | FullA local run does not send the prompt to Ollama's host. The README's opening line says access locally or in the cloud with complete privacy. This listing did not capture traffic. | FullThe process runs on the machine you started. The README does not describe sending the prompt to a llama.cpp host. This listing did not capture traffic. | FullThe server runs where you install it. The README does not describe a vLLM-operated host that stores prompts. This listing did not capture traffic. |
| No per-token fee for the runCounts for 10 | FullThe local app has no per-token line on the pricing page. You still download the weights onto hardware you pay for. | FullThe project page does not list a per-token fee. Hardware and the model download are yours. | FullThe README does not list a per-token fee. You pay for the machine and the weights. |
What it costs
Ollama
- Free plan
- The local app is MIT-licensed. The pricing FAQ says running models on your own hardware is always unlimited. Cloud models are billed per token.
- They host it
- No subscription is listed for the local app. Cloud Pay as you go is $0 and bills per token. Checked November 12, 2026. Pro is $20 a month, Max is $100, and Team is $500. Those are the hosted plans.
- Run it yourself
- Easy. The README shows a shell install on macOS and Linux, a Windows install script, and the ollama/ollama Docker image. You bring the hardware. This listing did not price a GPU.
llama.cpp
- Free plan
- The MIT license covers the inference code and llama-server. You bring the model file and the hardware.
- They host it
- No llama.cpp subscription is listed on the project page. A host that runs it for you is a separate bill. This listing did not check one. Not checked.
- Run it yourself
- Setup: medium. The README shows llama serve with a Hugging Face model id. The server README documents the HTTP routes. This listing did not price a machine.
vLLM
- Free plan
- The Apache-2.0 license covers the server. You bring the model weights and the hardware.
- They host it
- No vLLM subscription is listed in the README. Someone else hosting a GPU for you is a separate bill. This listing did not check one. Not checked.
- Run it yourself
- Setup: medium. The README's install is uv pip install vllm, then the docs quickstart. It expects a machine with a supported GPU or CPU. This listing did not price that machine.
Did you switch?
If you left Ollama Cloud, tell us if it worked and how long it took. Notes stay private until we approve them. Nothing is shown until at least five are approved.
Closest pair
Move from Ollama Cloud to Ollama
Install Ollama locally and run the same library name. The cloud credit balance does not move. The pricing page does not print the day the free cloud allowance ended.
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Switch guides
Free apps in this group
- Aider: Terminal pair programming that commits each edit to git.
- Bugsink: A smaller Sentry-compatible error store.
- Cline: An Apache-2.0 coding agent for VS Code and the terminal. No inline autocomplete.
- Continue: An Apache-2.0 IDE assistant. The repository is read-only after the Cursor acquisition.
- cState: A Hugo status page. Incidents are markdown files.
- Cursor: A coding editor with Tab autocomplete and an agent. Free is limited. The code is closed.
- Devin: The desktop editor formerly sold as Windsurf. Free includes Tab. The code is closed.
- Errbit: An older Airbrake-compatible error catcher.
- Forgejo: A community forge, GPL-3.0 since v9.
- Gatus: A health dashboard with a status page in the config file.
- Gitea: A lightweight Git forge.
- GitHub Copilot: GitHub's coding assistant. Free is capped. The code is not public.
- GitLab Community Edition: The MIT edition of GitLab, without EE.
- GlitchTip: Error tracking compatible with Sentry SDKs.
- Highlight: Session replay and errors, with a split license.
- Kener: A status page with incidents, maintenance, and email subscriptions.
- llama.cpp: LLM inference in C and C++. The license is MIT. llama-server speaks an OpenAI-style API.
- Ollama: Run open models on your own computer. The license is MIT.
- OneUptime: Status pages plus monitors, incidents, and on-call.
- OpenCode: A terminal and desktop coding agent that can open a GitHub pull request.
- OpenHands: Agent Canvas, a self-hosted control center for coding agents.
- Radicle: A peer-to-peer code forge.
- SigNoz: Traces, metrics, and logs in one app.
- SourceHut: Git hosting composed of small services.
- Tabby: A self-hosted completion server. Community is free for up to 5 users.
- Uptime Kuma: Uptime checks, with a public status page of those checks.
- vLLM: An Apache-2.0 model server with an OpenAI-compatible API.