Calcis
Know what your LLM calls cost before you make them.
Calcis launched on April 30, 2026 with 2 votes, #4,561 of 21,248 launches that month.
What it does
Know exactly what every LLM API call will cost before you make it. Pre-flight cost estimation for OpenAI, Anthropic, and Google models. 25+ models tracked. Prices updated within hours of provider announcements. Works in your browser, CLI, GitHub Action, VS Code, LangChain, LlamaIndex, Vercel AI SDK, and as an MCP server for Claude Desktop and Cursor. No more bill shock. Estimate first, ship with confidence.
Stop your agent before it spends what you can't afford. Predict cost across 28 models. Block PRs that blow your budget. CI, VS Code, CLI, and framework integrations for OpenAI, Anthropic, and Google.
Pre-flight cost guardrails for every LLM API call. Predict spend, set budgets, block PRs that blow them. 36 models across OpenAI, Anthropic, and Google. Demo cycles every 8s · edit to pin. · 87 in / ~ 35 out tokens Agent loops, runaway batch jobs, and RAG queries that 10x context overnight are the three patterns that break budgets. Calcis catches all three before the call leaves your code. Observability tools surface the spend after it has already happened. By the time the dashboard turns red, the invoice has already moved. We sit one step earlier in the loop: predict the cost, set the cap, block the PR before the regression ships. The name is older than the category. Roman merchants…from calcis.dev
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Free LLM API Pricing Calculator2024 · docsbot.ai · ▲175Calculate and compare the cost of the latest LLM APIs

Price Per Token – LLM API Pricing Data2025 · pricepertoken.com · ▲339The LLM providers are constantly adding new models and updating their API prices. Anyone building AI applications knows that these prices are very important to their bottom line. The only place I am aware of is going to these provider's individual website pages to check the price per token. To solve this inconvenience I spent a few hours making pricepertoken.com which has the latest model's up-to-date prices all in one place. Thinking about adding image models too especially since you have multiple options (fal, replicate) to use the same model and the prices are not always the same.

Frugon – Find which LLM calls a cheaper model could handle (local, MIT)Jul 2026 · github.com · ▲67I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and…

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