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

Website, pricing, platforms and company facts side by side.
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PocketPatch
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| Website | pocketpatch.io | utilitylab.dev |
| Pricing | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of PocketPatch 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...
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No analysis of UtilityLab.dev yet.
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing PocketPatch 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.
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