# Ollama

350 Hacker News commenters recommended Ollama and 247 criticized it, November 2025 to November 2026. It was recommended in 12 of 13 months; owners who said how long report a median of 1.5 years (8 owners).

**Verdict:** Recommended for running open models locally with one command, and for its cheap, generous Ollama Cloud plan; critics cite poor defaults, slow new-model support, and locked-in model storage.

## Why people recommend it

- One-command setup, minimal fuss (6 comments): "The simplest way to really start, use anything like claude code, vs code, cursor, antigratvity, (or any other IDE) ask them to install ollama" ([source](https://news.ycombinator.com/item?id=47374851)) "Core principle being your grandmother should be able to launch local AI model without needing to install 100 dependencies." ([source](https://news.ycombinator.com/item?id=46809641)) "Ollama makes it 1 command to run local small models, but with the newest ones there can be kinks to work out first." ([source](https://news.ycombinator.com/item?id=47923029))
- Cheap cloud plan, generous limits (8 comments): "The worst I saw - multiple parallel agents (opencode & pi-coding agents), with Kimi and glm, almost non stop development during the work day - 15-20% session consumption (I think it's 2h bucket) max. Never hit the limit." ([source](https://news.ycombinator.com/item?id=47712205)) "I've had a decent experience with ollama cloud. It is slower than going thru openrouter but much, much cheaper" ([source](https://news.ycombinator.com/item?id=47955825)) "Another very cost-effective option is Ollama Cloud. In a month of use, I only hit the 5-hour limit once" ([source](https://news.ycombinator.com/item?id=48002833))
- Easy model swapping, standard API (5 comments): "the value of ollama is that you can easily download and swap-out different models with the same API" ([source](https://news.ycombinator.com/item?id=47213671)) "Using ollama's api doesn't have the same issue, so I've stuck to using ollama for local development work." ([source](https://news.ycombinator.com/item?id=47652904)) "I'm using it as the backend for playing with other frontend stuff and it seems to work just fine." ([source](https://news.ycombinator.com/item?id=47627360))
- Good results with open models (5 comments): "I'm getting some pretty fantastic results running GLM 5.1 and even Minimax 2.7 and Kimi 2.5 and Gemma 4 on Ollama's cloud instances." ([source](https://news.ycombinator.com/item?id=47750861)) "I have been using GLM-5.1 with pi.dev through Ollama Cloud for my personal projects and I am very happy with this setup." ([source](https://news.ycombinator.com/item?id=47843142)) "I also like their CLI, because it is simple to use." ([source](https://news.ycombinator.com/item?id=47790549))

## What people warn about

- Bad defaults degrade model quality (5 comments): "Ollama has had bad defaults forever (stuck on a default CTX of 2048 for like 2 years) and they typically are late to support the latest models vs llamacpp." ([source](https://news.ycombinator.com/item?id=47627769)) "people end up saying "I tried running Qwen 3.8 27b locally and it was dumb" while Ollama would default to a Q4 version of the model" ([source](https://news.ycombinator.com/item?id=49404223)) "they try to abstract away a bit too much, especially when LLM model quality is highly affected by a bunch of parameters" ([source](https://news.ycombinator.com/item?id=47629949))
- Lags on newest model support (5 comments): "Ollama has had bad defaults forever (stuck on a default CTX of 2048 for like 2 years) and they typically are late to support the latest models vs llamacpp." ([source](https://news.ycombinator.com/item?id=47627769)) "the lack of variety in quant versions, the lag between availability on Ollama, and their push to get you to use their cloud versions" ([source](https://news.ycombinator.com/item?id=48968747)) "the impedance mismatch between when models are released and the capability of Ollama and other servers capability for use" ([source](https://news.ycombinator.com/item?id=47796560))
- Proprietary storage locks in models (3 comments): "Ollama made the wonderful choice of trying to replicate Docker registries/layers for the model weights, so of course the models you download with Ollama cannot be easily reused" ([source](https://news.ycombinator.com/item?id=46808665)) "ollama's hashed blob storage means if you've been pulling models for months, switching tools requires re-downloading everything" ([source](https://news.ycombinator.com/item?id=47790475)) "It's as if Ollama is trying to create a walled garden, but the garden is outside of their property, so all it achieves" ([source](https://news.ycombinator.com/item?id=47790296))
- Downplays its llama.cpp roots (3 comments): "Ollama's org had people flood various LLM/programming related Reddits and Discords and elsewhere, claiming it was an 'easy frontend for llama.cpp', and tricked people." ([source](https://news.ycombinator.com/item?id=47626029)) "Ollama could have advertised better that llama.cpp was it's original backend, but were they obligated to?" ([source](https://news.ycombinator.com/item?id=47790451)) "The local LLM ecosystem doesn’t need Ollama. It needs llama.cpp. The rest is packaging, and better packaging already exists." ([source](https://news.ycombinator.com/item?id=48968898))

## Alternatives hackers recommend

- [llama.cpp](https://hackerapproved.com/p/llama-cpp.md): 471 recommend
- [LM Studio](https://hackerapproved.com/p/lm-studio.md): 217 recommend
- [DS4 by antirez](https://hackerapproved.com/p/ds4.md): 109 recommend
- [Unsloth Studio](https://hackerapproved.com/p/unsloth.md): 94 recommend
- [oMLX](https://hackerapproved.com/p/omlx.md): 62 recommend

## Cite as

Hacker Approved, "Ollama", https://hackerapproved.com/p/ollama/ (counts from 1,795,640 Hacker News comments, November 2025 to November 2026).