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LLM Cost Calculator
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Estimate LLM API costs before you build — GPT-4, Claude, Gemini

SofaScore
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Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | utilitylab.dev | livescore.com |
| Pricing | — | |
| Company | 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
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What each product offers, as listed by its team.


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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing UtilityLab.dev and LiveScore.
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.
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