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About aicost.ai

The true cost of AI & cloud — beyond the bill

Last updated: April 18, 2026 · CloudIntelligence.ai LLC

aicost.ai helps enterprises, CFOs, CTOs, and engineering leaders understand and control the six hidden dimensions of AI and cloud cost. Built on the web's largest AI tools knowledge base of 115K+ tools and 100+ cost optimization guides.

Our Mission

AI is transforming business, but its true cost extends far beyond the invoice. Tokens and GPU hours are just the visible tip — hallucinations create legal liability, missed compliance brings regulatory fines, silent model drift erodes quality for months, PII leakage triggers breach events, overbuilt MLOps kills R&D budgets, rogue agent loops generate $20K overnight bills. We call this the Invisible Bill. aicost.ai is vendor-neutral, framework-first cost intelligence for enterprises navigating the AI cost explosion.

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Financial Cost

Tokens, GPU hours, cloud compute

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Reliability Cost

Hallucinations, drift, eval pipelines

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Governance Cost

EU AI Act, HIPAA, SOC2, audit trails

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Privacy & Security Cost

PII, prompt injection, red team

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MLOps & Operational Cost

Pipelines, model lifecycle

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Observability Cost

Monitoring, agent observability

Leadership Team

Subramanyam (Subu) Vdaygiri

Subramanyam (Subu) Vdaygiri

Founder & Managing Member

17+ years scaling cloud and AI platforms at Fortune 100 companies including Ingram Micro and Siemens. Led product organizations responsible for platforms generating $1B+ ARR.

  • Wharton — Chief Technology Officer Program
  • Kellogg — Chief Product Officer Program
  • AWS Certified Cloud Practitioner & Solutions Architect
  • Azure Fundamentals & AI Fundamentals certified
  • 17+ years in cloud cost optimization across AWS, Azure, GCP
Hanvish Vdaygiri

Hanvish Vdaygiri

Co-founder

UC Irvine dual-major in Data Science and Pure Mathematics (June 2026 graduate). Co-founder leading data pipeline and AI research work across the CloudIntelligence network.

  • B.S. Data Science — UC Irvine (2026)
  • B.S. Pure Mathematics — UC Irvine (2026)
  • AI/ML Engineering — focus on retrieval-augmented systems
  • Contributor to AIPapers.ai (4.2M paper vectors) and ToolsInfo.com

Part of the CloudIntelligence Network

aicost.ai is one of four specialized intelligence platforms in the CloudIntelligence ecosystem. Each site brings vendor-neutral, framework-first insight to a specific domain.

CloudIntelligence →

Parent hub — cloud & AI intelligence across all domains

ToolsInfo →

115K+ AI tools, 100+ guides — the largest AI tools directory on the web

AIPapers →

4.2M AI research papers with semantic search and AI categorization

AINewsCycle →

Daily AI news briefings for executives and practitioners

NVIDIA Inception Program Member

aicost.ai and its parent company, CloudIntelligence.ai LLC, are members of the NVIDIA Inception Program — a global accelerator for AI startups building on NVIDIA’s platform.

NVIDIA Inception Program Member Badge

Proud member of the NVIDIA Inception Program

CloudIntelligence.ai LLC — the company behind aicost.ai, ToolsInfo.com, AIPapers.ai, AINewsCycle.com, and AvatarVA — is an NVIDIA Inception startup accelerating innovation on NVIDIA’s platform.

What Makes aicost.ai Different

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Vendor-Neutral

We have no preferred vendor. Our guides say 'Choose this' AND 'Think twice if'. We'll tell you not to use a tool when it's wrong for your situation.

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Backed by 115K+ Tools

Every recommendation is grounded in ToolsInfo's knowledge base — not marketing copy, not affiliate pushes. Real pricing, real categories, real feature comparisons.

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Framework-First

The 6-pillar Invisible Bill framework forces holistic thinking. You can't optimize what you can't see — we help you see the whole cost stack.

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Enterprise-Grade Experience

Built by practitioners who scaled AI platforms at Fortune 100 companies. The advice reflects real enterprise constraints, not blog-post theory.

Get in Touch

Have questions? Need help thinking through your AI cost situation? We'd love to hear from you.

General: [email protected]
Legal & Privacy: [email protected]
Location: Irvine, California, United States

📖 Data sources & methodology 161 text models · 9 embeddings · 24 vision · 41 audio · 8 vector DBs across 10 vendor pages · last verified 2026-06-05

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-06-05.
  • Vendor-published values have no mark. Inferred/extrapolated values are marked with * and listed below.
  • Batch API discounts are 50% off standard rates across providers that offer Batch mode.
  • Prompt caching discounts vary by provider (typically 80-90% off cached input tokens).
  • Regional data-residency surcharges (Anthropic 1.1x, OpenAI 1.1x, Google regional tiers) are NOT included in base rates.
  • Long-context pricing tiers apply when input exceeds model threshold.
  • Embedding prices are input-only (no output tokens generated).

Primary sources

Last-verified date is the most recent successful daily snapshot (aicost_pricing_snapshots) or, when no snapshot exists yet, the latest successful crawler run (aicost_crawler_runs). 10 of 10 vendors are currently verified. Aggregator services (TokenCost, AI Pricing Guru, etc.) are not listed.

Anthropic
2026-06-05
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 578 days captured
Anthropic Docs
2026-06-05
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 578 days captured
OpenAI
2026-06-05
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 579 days captured
Google AI
2026-06-05
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 554 days captured
Google Vertex
2026-06-05
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 554 days captured
DeepSeek
2026-06-05
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 493 days captured
xAI
2026-06-05
https://x.ai/api
Daily snapshot since Nov 2024 · 411 days captured
Mistral
2026-06-05
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 552 days captured
Cohere
2026-06-05
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 578 days captured
Voyage AI
2026-06-05
https://docs.voyageai.com/docs/pricing

Inferred values (marked with * in calculator tables)

Derived from industry conventions, not directly published by the vendor. Typical conventions: cached input = 10% of base (90% off), Batch API = 50% of base (50% off).

Vendor / Model Field Why it’s inferred
Anthropic — Claude Sonnet 4.6 cachedInput Derived at 10% of input rate — Anthropic publishes 90% cache-hit discount on this tier.
Anthropic — Claude Sonnet 4.5 cachedInput Derived at 10% of input rate; same 90% cache-hit convention as Sonnet 4.6.
Anthropic — Claude Sonnet 4.5 batchInput Derived at 50% of standard input — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Sonnet 4.5 batchOutput Derived at 50% of standard output — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Haiku 4.5 cachedInput Derived at 10% of input rate — Anthropic 90% cache-hit discount convention.
OpenAI — GPT-5.4 Mini cachedInput Derived at 10% of input — OpenAI documents automatic 90% discount on cache hits across GPT-5.x tier.
OpenAI — GPT-5.4 Nano cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Nano batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Nano batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Pro batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.2 cachedInput Derived at 10% of input; no residency uplift.
OpenAI — GPT-5.2 batchInput Derived at 50% of input.
OpenAI — GPT-5.2 batchOutput Derived at 50% of output.
OpenAI — GPT-5 cachedInput Derived at 10% of input.
OpenAI — GPT-5 batchInput Derived at 50% of input.
OpenAI — GPT-5 batchOutput Derived at 50% of output.
OpenAI — GPT-5.5 Pro cachedInput Derived at 10% of input — OpenAI does not publish a cached rate for *-pro models; using the family convention.
OpenAI — GPT-5.5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.2 Pro cachedInput Derived at 10% of input — pro-tier convention.
OpenAI — GPT-5.2 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.2 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.1 batchInput Derived at 50% of input.
OpenAI — GPT-5.1 batchOutput Derived at 50% of output.
OpenAI — GPT-5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5 Nano cachedInput Derived at 10% of input.
OpenAI — GPT-5 Nano batchInput Derived at 50% of input.
OpenAI — GPT-5 Nano batchOutput Derived at 50% of output.
Google — Gemini 3 Flash cachedInput Derived at 10% of input — Google caching discount convention ~90%.
Google — Gemini 3.1 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 3.1 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 3.1 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Pro cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.5 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash cachedInput Derived at 25% of input per Google 2.0 family caching rates.
Google — Gemini 2.0 Flash batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.0 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
xAI — Grok 4 (legacy) cachedInput Extrapolated at 25% of base.

Pricing is cross-verified against the LiteLLM community registry when available. Daily snapshots are kept in aicost_pricing_snapshots; every change is logged to aicost_price_changelog with old & new values for full audit trail. Read the full methodology →