AICost.ai helps reduce AI costs and put governance controls in place across your enterprise

AICost.ai 124 cost and governance engines:
  • Measure the real cost of every workflow step
  • Cut cost without hurting quality
  • Govern every workload inside your rules

We have mapped enterprise workflows, from RAG customer support to multimedia marketing and agentic AI in engineering, to AICost engines for the most savings and governance.

Control AI cost and govern with confidence across all your workflows: total cost visibility, reduce cost at every step, forecast before you scale, govern from day one
With AICost.ai cost and governance in place:
  • Move AI from pilot to production with confidence
  • Scale the workloads that pay off and stop the ones that don't
  • Lower the operating cost of every AI workload
  • Launch new AI-powered services faster
Start AICost cost and governance control, free →Enterprise cost control and governance →
AI workflows across your enterprise: Clarity, Optimize, Forecast, Governance, Assurance
Start AICost cost and governance control, free →Enterprise cost control and governance →

Example Enterprise Workflows and How AICost.ai Helps You

Generative multimedia
Without AICost.ai$14,293/mo
With AICost.ai$6,374/mo
Cost reduced within governance envelope$7,920/mo −55%
Details →
Customer support + RAG
Without AICost.ai$75,172/mo
With AICost.ai$51,665/mo
Cost reduced within governance envelope$23,507/mo −31%
Details →
Engineering + coding agents
Without AICost.ai$77,730/mo
With AICost.ai$71,483/mo
Cost reduced within governance envelope$6,247/mo −8%
Details →

AICost.ai can cut cost across all your enterprise workflows.

Check our 50+ common enterprise workflows, with cost savings made possible by AICost.aiHave a custom workflow? Cost and govern it in the designer
How AICost works

124 engines. One job: keep AI cost and governance under control.

AICost measures what each workflow step costs, finds the best savings levers, and turns your policies into controls your AI follows.

1

Measure the real cost across workflows

AICost engines cover every part of your AI workflows, giving you visibility and the ability to optimize cost at every step.

›
  1. Request
  2. Knowledge (RAG)
  3. Agent
  4. Tools
  5. Retries
  6. Human review

Typical cost concentration by step. Every step is priced from one price database.

2

Best cost levers for the most cost reduction

AICost has 10 cost-lever engines and applies the right ones to each workflow step and AI use case for the most cost and governance benefit.

›
  • Prompt cachingrepeat prompts
  • Model routingeasy steps, cheaper model
  • Batch processingwork that can wait
  • Context compactionlong agent context
  • Right-size modelspremium only where needed
3

Turn policy into continuous governance controls

AICost keeps your enterprise always governed: continuous governance runs as policies that work with your gateways or directly with AI vendor APIs.

›
  • Budget limits
  • Approved models
  • Allowed tools
AICost governance envelope
  • Run limits
  • Human approvals
  • Audit evidence

Featured engines

See all 124 engines →

A few of the 124 deterministic cost and governance engines.

Agent run costCatch runaway loops earlySee engine → Prompt cachingCut repeat spend across workflowsSee engine → Cost firewallStop runaway spend with caps and a kill switchSee engine →
  • Lower AI costDo more with the same budget
  • Fewer surprise billsNo runaway spend
  • Safer agentsGovernance and controls built in
  • Confident scaleEconomics hold at production volume
See all 124 engines →Run them over MCP →

The same engines work in every AI workflow you run: lower cost, with governance built in.

See how AICost engines in your enterprise workflows reduce cost and improve governance54 ready workflows by function and industry, each priced step by step with the savings and controlsCut cost and add governance to your own custom workflowDescribe it or start from an example; the designer prices every step and writes the policyGet a savings plan for your AI workflowsTalk to us: we review your workflows and recommend ready-to-deploy controls or a custom solution
What AICost.ai answers

Accelerate business growth with AI, with cost and governance under control

AICost.ai's 124 decision engines cut AI cost inside your enterprise governance envelope.

See it
Clarity
  • Where is our AI money really going?
  • Why did costs spike last week?
AICost.ai answers

Total visibility into AI and cloud cost across every enterprise workflow, step by step: cost per resolved case and the cause of every spike.

Diagnose a billAgent loop costAICost Clarity
Reduce it
Optimize
  • How do we cut cost without hurting quality?
AICost.ai answers

Every lever priced before you pull it: prompt caching, batching, model routing, loop caps and better grounding, all inside your quality floor.

50+ ready AI workflows, each with cost control built in
Prompt cache ROIModel routingAICost Optimize
Plan it
Forecast
  • What will it cost when we scale?
  • Will it pay back?
AICost.ai answers

TCO, ROI and break-even at 1x, 10x and 100x, including human review, evaluation and the worst case, before you commit budget.

TCO and ROI builderScale projectionAICost Forecast
Control it
Governance
  • What is this AI allowed to do?
  • Who approved it?
AICost.ai answers

Your rules become budgets, caps, model allowlists and human gates, enforced at the gateway you already run, with a versioned policy you approve.

20 assessment and governance modules, one approved policy
Connect Microsoft 365AI governanceCost firewall
Prove it
Assurance
  • Is it ready for production?
  • Will it still hold next month?
AICost.ai answers

The workload you will ship is tested, gets a release decision, and is re-proven every day with evidence your auditor and board can read.

Test one workloadAssurance programThe 8-step journey
124 AICost.ai cost, assessment and governance engines power every answer.Learn more →

Assess it. Wall it. Protect it. Prove it.

Four steps to lower, governed AI cost

Every plan includes all four products. Pro is priced per workload and billed only when CostProof shows the savings.

1Get full visibility of your current AI and cloud costs

CostAssess

See every AI workload, its cost and its gaps.

Best for: Enterprises, SIs and consultants

Lite
Price any workload: QuickStart, 54 workflows, designer
Pro
Read-only Microsoft 365 and Azure assessment, free
Enterprise
Estate review with our experts, 90-day plan
CostAssess: Learn more →
2Reduce and optimize costs across all your workflows

CostWall

Stop overspend in the gateway you already run.

Best for: Builders, AI-native companies, MSPs

Lite
Policy downloads for LiteLLM, Cloudflare and more
Pro
Caps per agent run, daily caps, kill switch
Enterprise
Runs in your own network
CostWall: Learn more →
3Keep cost control within your governance

CostProtect

AI governance: keep every workload within your rules.

Best for: Enterprises, regulated teams, SIs

Lite
Control list for each workload
Pro
Approved models, data rules, assurance tests
Enterprise
Governance record and evidence for audits
CostProtect: Learn more →
4Get daily receipts of savings, enterprise-wide and per workflow

CostProof

See the savings on your real bill.

Best for: AI-native companies, enterprises, MSPs

Lite
Estimate per step for any workload
Pro
Estimate vs actual from your gateway and cloud bill
Enterprise
Chargeback by team, audit export
CostProof: Learn more →
Every plan includes all four products. Lite free Pro from $49 per workload a month, billed after 5x savings Enterprise from $4,500 a month See pricing and plans →
Which AICost products give me the best cost and governance?
Two clicks: who you are and what you need first.Find my products →
AICost.ai Cost and Governance Control Products →Price a workload free →Which products fit me?
Get started

Cut AI cost with better governance, starting today

Talk to an AICost expert

See where AICost cuts cost and adds control on your own workloads.

See the demoBook a call →

Try AICost free

Run AICost engines in your stack. Free MCP key.

How MCP worksGet a free MCP key →

Services for cost control and governance

Cost control and governance services for your business.

See all workflowsSee services and pricing →

AICost.ai Complete Assessment

Know your whole AI estate in days, then set the right cost controls

Automated read-only collection plus a short interview, then a ranked plan of what to fix first.

Start your AICost.ai AssessmentHow CostAssess works →
AI Assessment: AI inventory, data and readiness, workflows and agents, risk profile, cost and ROI, priorities; outcomes: full AI visibility, accelerate AI, control risk, prove value, clear priorities

AICost.ai Continuous Governance

Every cost rule becomes policy your gateway enforces, re-proven every day

The most cost-effective way to govern AI: priced on governed scope, never on your AI spend. Rules you approve run as executable policy, and the 124 engines re-check them as prices, models and usage change.

Dailyspend and spike checks
Weeklygovernance sweep
$0markup on AI spend
What runs continuously
  • Spend drift and spike alerts
  • Price and model changes
  • Weekly governance sweep
  • Approvals with an evidence journal
  • Assurance retests on every change
  • AI inventory and shadow AI
  • Regulatory exposure by workload
  • Human review economics
How a policy change happens
  1. Detect
  2. Propose
  3. Approve
  4. Deploy
Cost rules as executable policy
  • ✓ Budgets and daily caps
  • ✓ Cost per agent run
  • ✓ Turn and retry limits
  • ✓ Approved models by data class
  • ✓ Human approval gates
  • ✓ Emergency stop
Enforced where your AI runs
  • LiteLLM
  • Portkey
  • Kong
  • Cloudflare AI Gateway
  • AWS Bedrock
  • Azure AI Foundry
  • Google Vertex AI
Evidence for
  • EU AI Act
  • NIST AI RMF
  • ISO 42001
  • SOC 2
  • your auditors and board
Execute continuous governanceSee pricing →

Start with one AI workload.

You do not need to replace your gateway. You do not need to replace your FinOps platform. You do not need to connect the entire enterprise.

Test us on one workload before you trust us with more.

Pick one workload. We will show you:

  • what it really costs
  • what happens at scale
  • where the risks hide
  • which controls it needs
  • whether it is ready for production
Test one workload ➞ Talk to an AICost engineer ➞
AICost.ai pricing data keeps our calculations accurate across top AI and cloud vendors · last updated 2026-10-28

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-10-28.
  • 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
2026-10-28
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 714 days captured
Anthropic Docs
2026-10-28
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 714 days captured
OpenAI
2026-10-28
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 715 days captured
Google AI
2026-10-28
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 690 days captured
Google Vertex
2026-10-28
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 690 days captured
DeepSeek
2026-10-28
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 629 days captured
xAI
2026-10-28
https://x.ai/api
Daily snapshot since Nov 2024 · 547 days captured
Mistral
2026-10-28
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 688 days captured
Cohere
2026-10-28
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 714 days captured
Voyage AI
2026-10-28
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.
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 →