
Podman
containerd
CRI-O
Crane
ZeroVM
BuildKit
LXD
Buildah is a web-based OCI container tool that allows you to manage the wide range of images in your OCI container and helps you to build the image container from the scratch.

OpenAI
Gemini.com
LLM Cost Calculator
Gemini 2.5 Flash
GPT3 Crush
OpenRouter
SharpAPI
Estimate LLM API costs before you build — GPT-4, Claude, Gemini

Which is more popular?
Based on our record, Buildah seems to be more popular. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | buildah.io | utilitylab.dev |
| Pricing | ||
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Buildah yet.
Free browser-based tool to estimate API costs for GPT-4, Claude, Gemini, and open-source models. Calculate prompt, completion, and monthly token expenses before writing code. No sign-up required. AI Cost Simulator helps developers and teams estimate LLM API pricing before they ship. Select from...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
How to Build a Container Image Using Buildah
No UtilityLab.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Buildah and UtilityLab.dev.
UtilityLab.dev's answer:
Most LLM cost calculators are either spreadsheets or require signing up for an API. AI Cost Simulator is a free, browser-based tool that works instantly — no account, no installation, no data upload. It supports the widest range of models (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, DeepSeek V4 Flash, and more) with both per-call and monthly volume estimates in one view.
UtilityLab.dev's answer:
Vanilla JavaScript, HTML, and CSS — no frameworks, no bundlers. All cost calculations happen client-side. The tool is deployed as a static site on Cloudflare Pages for global low-latency access.
UtilityLab.dev's answer:
It's the only zero-friction cost estimator. Competitors either lock features behind sign-up walls, only support one model family, or require you to dig through separate pricing pages. AI Cost Simulator gives you a side-by-side comparison of all major LLM providers in one page — and everything runs locally in your browser, so your pricing data never leaves your machine.
UtilityLab.dev's answer:
Developers, indie hackers, and technical founders who are evaluating LLM APIs for their next project. Also product managers and engineering leads doing cost analysis before committing to a model provider at scale.
UtilityLab.dev's answer:
When building AI-powered features, we realized every model provider publishes pricing differently — per-token, per-character, per-request — and there's no single place to compare them. Instead of bookmarking five pricing pages and building a spreadsheet, we built a dead-simple comparison tool. We open-sourced the approach and made it free so other developers don't have to waste time doing manual math.
UtilityLab.dev's answer:
Since it's a free browser tool with no sign-up, we don't track individual users. It's used by developers and teams evaluating LLM costs across startups, agencies, and enterprise engineering teams.
Share your experience with using Buildah and UtilityLab.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Modern Docker releases use BuildKit, an efficient builder developed by Docker, whereas Podman uses Red Hat's Buildah. However, both solutions output OCI-compliant images, so there's no practical difference between the two for standard... - Source: dev.to / about 1 year ago
I suspect that the GP was really asking "why not use a different tool", like buildah , buildpacks , nix ,. - Source: Hacker News / over 1 year ago
Buildah specializes in building OCI-compliant container images, offering a more granular and secure approach to image creation compared to traditional Dockerfile builds. - Source: dev.to / almost 2 years ago
Tracking UtilityLab.dev since Jul 2026.
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