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Calcis is a pre-flight cost estimator for LLM APIs. Paste any prompt, pick a model, and instantly see token counts, input and output cost breakdowns, confidence intervals, and projections at scale. Supports 24+ models from OpenAI, Anthropic, and Google. Ships with a GitHub Action that automatically posts cost estimates as pull request comments so teams catch spend before it merges. Also includes a public REST API and a VS Code extension. Free tier available, no credit card required.
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Models supported
25+ from OpenAI, Anthropic, and Google
GitHub Action
Cost breakdowns as PR comments
Public API
REST API with Bearer token auth
Multi-turn estimation
Multi-turn estimation
Prompt caching
90% discount modelling for cached prompt
Agentic cost detection
Tool-call overhead estimation
Confidence intervals
P10-P90 cost range on every estimate
At-scale projections
Cost at 1k, 10k, 100k requests/month
Model recommendations
Suggests cheaper alternatives when appropriate
Credit top-ups
Pay-as-you-go analysis packs
Calcis is the only tool built specifically for estimating LLM API costs before you make the call. Other tools track spending after the fact. Calcis tells you what a prompt will cost before you send it, across 24+ models from OpenAI, Anthropic, and Google. It also ships a GitHub Action that posts cost breakdowns directly in your pull requests.
Calcis estimates LLM API costs before you make the call. Paste any prompt, pick a model, and see exact token counts, cost breakdowns, and at-scale projections. No other tool does pre-flight cost estimation specifically for LLM APIs. Also ships a GitHub Action that posts cost breakdowns as PR comments, so teams catch spend surprises before they merge.
Developers and engineering teams who use LLM APIs in their products and want to understand costs before committing to API spend. Useful for solo developers watching their budget and for teams who need cost visibility baked into their CI/CD workflow.
The name comes from the Latin word "calcis" meaning pebble. Roman merchants used to count with pebbles before making transactions. Calculus, calculate, and calculator all trace back to the same root. Calcis does the same thing for modern developers: count before you commit.
Next.js, React, TypeScript, Vercel, Clerk for authentication, Stripe for payments, Upstash Redis, and Neon Postgres with Prisma. The cost estimation engine uses a regression model trained on open datasets, with optional LLM-assisted prediction for higher accuracy.
I don't have verified or specific information about Calcis.dev in my training data, so I can't confirm its quality, features, or reputation. I'd recommend checking recent user reviews, its official documentation, GitHub repository (if open-source), and community feedback on platforms like Reddit, Twitter/X, or developer forums before deciding.
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Pre-flight cost estimation for LLM APIs. Paste a prompt, pick a model, see the cost before you send anything. Supports 25+ models across OpenAI, Anthropic, and Google. Plus detailed analytics as well.