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
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
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
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

Simple flat pricing. Start free. Flat fee per workload.

5x savings guaranteeEvery plan includes all four products

Pro is billed only when CostProof shows savings of at least 5x the fee on your real bill. Any month under 5x is free.

Lite
$0
free, any workload size. You apply the policy yourself.
All four products, Lite edition
  • CostAssess: price any workload
  • CostWall: policy for your gateway or vendor account
  • CostProtect: control list per workload
  • CostProof: estimate per step
Price a workload free
Pro
$49 / $199 / $499
per workload a month
  • $49: workload AI spend up to $5K a month
  • $199: $5K to $50K a month
  • $499: over $50K a month

Spending under $1K a month on a workload? Lite is usually enough.

All four products, Pro edition
  • CostAssess: read-only Microsoft 365 and Azure assessment
  • CostWall: caps per agent run, daily caps, kill switch
  • CostProtect: approved models, data rules, assurance tests
  • CostProof: estimate vs actual from your gateway and bill
Price a workload free
Enterprise
from $4,500
a month, about 25 workloads
All four products, Enterprise edition
  • CostAssess: estate review with our experts
  • CostWall: runs in your own gateway and network
  • CostProtect: governance record and audit evidence
  • CostProof: chargeback by team, audit export
Enterprise: which products fit
How the guarantee looks on a real workload: Customer support + RAG: saves $23,507/mo you pay $499/mo 47x Live example priced by the AICost engines ($75,172 a month without AICost); the fee band follows the workload's monthly cost.
Which AICost products give me the best cost and governance?
Two clicks: who you are and what you need first.Find my products →
Price a workload free →Which products fit me?

Expert help, fixed price

Workload Review

$9,500 fixed
One important production workload, end to end
  • Complete workflow economics
  • Cost per business outcome
  • Step-level optimization
  • Forecast at today, 10 times and production scale

$5,000 credited toward an enterprise plan if you upgrade within 60 days.

Book a Workload Review

CostAssess Enterprise Baseline

$19,500 fixed
Establish the enterprise view
  • AI estate and inventory
  • Initial workload portfolio
  • Cloud, provider and billing picture
  • Top cost concentrations
Book a free consult

Questions

What counts as a workload?

One AI application or business process with its own outcome and governance boundary. Steps inside it, such as models, agents and tools, are not counted separately.

Do you charge a percentage of AI spend?

No. Each workload has one flat monthly price, set by its monthly AI cost: $49, $199 or $499. There is no token markup and no share of your bill.

What if the savings are smaller than promised?

You are billed only when CostProof shows savings of at least 5x the fee, and any month under 5x is free.

Are the workflow numbers real?

They are calculated by the same AICost engines used in the live demo and the MCP server, from current public model prices, for an example volume. Your own numbers come from your workload.

Can we start small?

Yes. Lite is free: price a workload, download its CostWall policy and get an MCP key. Pro is billed per workload, only after CostProof shows the savings.

Talk to AICost

Bring one workload. We price it step by step and show what CostWall, CostProof and CostProtect change.

Book a free consultWhich products fit me?
AICost.ai pricing data keeps our calculations accurate across top AI and cloud vendors · last updated 2026-10-21

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-10-21.
  • 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
2026-10-21
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 707 days captured
Anthropic Docs
2026-10-21
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 707 days captured
OpenAI
2026-10-21
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 708 days captured
Google AI
2026-10-21
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 683 days captured
Google Vertex
2026-10-21
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 683 days captured
DeepSeek
2026-10-21
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 622 days captured
xAI
2026-10-21
https://x.ai/api
Daily snapshot since Nov 2024 · 540 days captured
Mistral
2026-10-21
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 681 days captured
Cohere
2026-10-21
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 707 days captured
Voyage AI
2026-10-21
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 →