Fact sheet · AI search visibility
AI//COST
Independent pricing intelligence for LLM APIs across every major AI model
AI//COST tracks and compares API pricing for 340 large language models across 35 providers, with every price manually verified against vendor pages and stamped
Overview

AI//COST is an independent pricing intelligence platform that tracks live API costs for large language models from frontier AI providers. Every price is manually verified by the founder against each vendor's own canonical pricing page, with verification dates stamped on each model page. The site covers 340 LLM models across 35 providers including Anthropic, OpenAI, Google, Mistral, and others, displaying input and output token costs per million, blended effective rates, price history, and cached-input discounts.
Beyond pricing tables, the platform offers tools for comparing models side-by-side, calculating total API costs with adjustable cache hit rates and input/output splits, querying which models can perform specific capabilities, and analyzing the real cost of running AI agents. All content is edited and signed off by the named founder. The methodology is public, corrections are logged openly, and sponsored content is clearly labeled to maintain editorial independence.
Feature facts
- 340 LLM models tracked across 35 providers
- Manual vendor-canonical price verification with dated timestamps
- Per-model pricing hubs with input, output, and cached-input rates
- AI agent cost analysis and pricing
- Public correction log and transparent methodology
- Blended effective cost calculation with configurable cache hit rates
Pricing
Pricing model: Free
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AI//COST specifications
| Section | AI search visibility |
|---|---|
| Founded | 2026 |
| Origin | United Kingdom |
| Stage | Startup |
| Website | aicost.tools |
| Makers | Yaroslav Vikhariev (Founder) |
| Votes2 | 0 |
AI//COST metrics
| Metric | Value |
|---|---|
| Domain Rating | 26 +1 (up) since last check |
| Trust Flow | 14 no change since last check |
| Citation Flow | 32 no change since last check |
| Referring domains | 111 no change since last check |
| External backlinks | 543 no change since last check |
Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 11 Nov 2026. Fact: top topic Computers/Companies (13). Fact: Majestic checked 25 Oct 2026, fact changed 25 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
AI//COST domain fact sheet
Open the fact sheet
| Domain age | 5 months |
|---|---|
| Registered | |
| Expires | |
| Registrar | Dynadot Inc |
| DNSSEC | Not signed |
AI//COST launch receipt sheet
What we have measured for AI//COST since it went live on SaaS Directory Info on 25 October 2026.
- 26 Domain Rating (Ahrefs) +12 (up) since launch
at launch: 14 (25 Oct 2026); latest: 11 Nov 2026 - 14 Trust Flow (Majestic)
first measured 25 Oct 2026 - 111 Referring domains (Majestic)
first measured 25 Oct 2026
Day 17 since launch. Next receipt: day 30, 24 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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Frequently looked up
- Q1How often are prices verified?
- Prices are read by hand from each vendor's own pricing page with nothing scraped on a schedule. Every model page shows the date of its last check in the header and byline. When a check finds a change, the old figure moves into the model's price history and into the corrections log if previously published incorrectly.
- Q2How do I report a price that changed?
- Email editorial@aicost.tools with the model name and the vendor page URL showing the new price. The site re-verifies and pushes the update within 24 hours.
- Q3What happens when there is an error on the site?
- When a pricing figure, benchmark score, or factual claim is incorrect, the page is updated, the change is noted inline, and an entry is added to the public corrections log with no silent edits.
- Q4Can I license the pricing data?
- Yes, data licensing is available for teams needing structured AI pricing data, delivered as exports. Contact partnership@aicost.tools for details and pricing.
- Q5What does "effective blended" mean in the calculator?
- The blended rate combines input and output token costs weighted by a realistic workload split (default 92% input / 8% output for agentic use), and applies a cache hit rate (default 82% for cache-aware agents). Formula: inputBlended = inputP×(1−cacheHit) + cachedP×cacheHit; effective = 0.92×inputBlended + 0.08×outputP. Tweak the split or cache rate to match your workload.
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AI//COST has a free listing. The owner can unlock the full profile with a paid launch for $5:
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See also
| Product | Origin | DR1 | Votes2 |
|---|---|---|---|
| ModelRefsThe AI Reference Layer for Implementation Decisions | United States | 1 | 0 votes. Log in to vote for ModelRefs in the file |
| not stated | 2 | 0 votes. Log in to vote for AIPriceRank in the file | |
| not stated | 2 | 0 votes. Log in to vote for Redmagnet AI in the file | |
| Puerto Rico | 4 | 0 votes. Log in to vote for Preferly in the file |