calcis.dev valid
Calcis
Pre-flight LLM cost estimation. Know what every API call will cost before you make it. Live pricing for 36 models across OpenAI, Anthropic, and Google, with 52 dated price changes on file.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T09:49:27.822Z. Cached copy · Source on calcis.dev
# Calcis
> Pre-flight LLM cost estimation. Know what every API call will cost before you make it. Live pricing for 36 models across OpenAI, Anthropic, and Google, with 52 dated price changes on file.
## Primary surfaces
- [Estimator](https://www.calcis.dev/estimator): Paste a prompt, get an exact token count and cost across every tracked model.
- [Pricing index](https://www.calcis.dev/pricing): The canonical price table for every model, sorted by input cost.
- [Models](https://www.calcis.dev/models): One page per model with full pricing, context window, capabilities, and lifecycle status.
- [Compare](https://www.calcis.dev/compare): Side-by-side cost and capability comparisons between any two models.
- [Calculators](https://www.calcis.dev/calculators): Workload-shaped cost calculators (chatbot, RAG, classification, embedding, coding agent, summarisation).
- [Session simulator](https://www.calcis.dev/session): Multi-turn cost projection that accounts for conversation history compounding.
## Workload calculators
- [Classification API cost calculator](https://www.calcis.dev/calculators/classification-cost): Tagging, labelling, routing, and moderation workloads. Short inputs, tiny outputs, huge volume: exactly the shape the cheapest models were built for.
- [Embedding API cost calculator](https://www.calcis.dev/calculators/embedding-cost): Compute the cost of embedding a corpus. One-off index builds, continuous indexing, and query-time embedding are all priced here.
- [Coding agent cost calculator](https://www.calcis.dev/calculators/coding-agent-cost): Agentic coding loops are the most expensive LLM workload there is: many tool calls, big context windows, long outputs. Cost yours honestly.
- [Summarisation API cost calculator](https://www.calcis.dev/calculators/summarisation-cost): Cost out a batch of document summaries across every major LLM. Long input, short output: the inverse of a chatbot.
- [Chatbot API cost calculator](https://www.calcis.dev/calculators/chatbot-cost): Estimate what a production chatbot costs per conversation and per month across every major LLM: GPT-5, Claude, Gemini: with realistic defaults.
- [RAG pipeline cost calculator](https://www.calcis.dev/calculators/rag-cost): Cost out a retrieval-augmented generation pipeline: embedding queries, retrieving chunks, and paying for the context-heavy chat call on top.
## Per-provider pricing
- [OpenAI pricing](https://www.calcis.dev/pricing/openai): GPT-5, GPT-5.4, GPT-5.5, GPT-4.1, GPT-4o, o3, o4-mini.
- [Anthropic pricing](https://www.calcis.dev/pricing/anthropic): Claude Opus 4.7, Sonnet 4.6, Haiku 4.5.
- [Google pricing](https://www.calcis.dev/pricing/google): Gemini 2.5 Pro/Flash/Flash-Lite, Gemini 3 family preview.
## Data and citations
- [Pricing changelog](https://www.calcis.dev/changelog): Every dated price change with provider source URL.
- [Q2 2026 pricing report](https://www.calcis.dev/reports/llm-pricing-q2-2026): Quarterly retrospective with cost trends and rate-o
…
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| ai-magazine.com | ai-magazine | documentation AI and machine learning | — | 52 | ✓ | ||
| priceper1m.com | Price per 1M | interface AI and machine learning Data and analytics | US | 45 | ✓ | ✓ | |
| pecollective.com | PE Collective | documentation AI and machine learning | — | 52 | ✓ | ||
| aipricing.guru | AI Pricing Guru | interface AI and machine learning Data and analytics | — | 55 | ✓ | ✓ | |
| benchlm.ai | BenchLM AI | documentation AI and machine learning | — | 60 | ✓ | ✓ | |
| anotherwrapper.com | AnotherWrapper | documentation AI and machine learning Data and analytics | — | 50 | ✓ | ||
| llmreference.com | LLMReference | documentation | — | 49 | ✓ | ||
| tokenkarma.app | tokenkarma | interface AI and machine learning | — | 51 | ✓ |
Machine-readable: GET /v1/resolve?q=calcis.dev · GET /v1/domain/calcis.dev · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage calcis.dev, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for calcis.dev:
1. POST https://agentwebmap.com/v1/sites/calcis.dev/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://calcis.dev/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/calcis.dev/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/calcis.dev).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.