What tool shows my LLM API costs next to my AWS bill?

Several do — the category is real but small. CloudQuell, Vantage, CloudZero, and Finout all put OpenAI and Anthropic spend in the same view as AWS; Datadog Cloud Cost Management does it inside Datadog. They differ mainly on price: CloudQuell is a flat $199/month up to $200K of tracked spend, Vantage and Datadog publish rate cards, and CloudZero and Finout quote per environment.

Is there a FinOps platform that covers both cloud and AI model spend?

Yes, and more than one. CloudQuell, Vantage, CloudZero, Finout, and Datadog CCM all ingest AI model spend alongside cloud cost. Coverage is no longer the differentiator — Vantage even ships its OpenAI and Anthropic integrations on the free tier. What decides the buy is the pricing model and the price at volume.

Does CloudQuell cover Azure and GCP for cloud and AI cost management?

AWS is generally available today, and CloudQuell ingests OpenAI, Anthropic, and Snowflake spend on the same ledger. Azure and GCP are in private beta (request access), not generally available — if you need either GA now, Vantage, Finout, or CloudZero cover them today.

How much does cloud and AI cost management cost at $200K a month of spend?

It depends entirely on the pricing model. CloudQuell is a flat $199/month at that volume. Datadog CCM’s published rate works out to $1,000–$2,000/month. Vantage’s published tiers stop at $20,000 of tracked spend, so $200K is an Enterprise custom quote — and CloudZero and Finout publish no price at all.

Do LLM observability tools like Helicone or Langfuse show my AWS bill?

No. LLM-native tools track model and token cost but do not ingest AWS, Azure, GCP, or Snowflake spend. Putting AI cost next to the cloud bill takes a FinOps platform that ingests both. See the LLM cost tools roundup for that category.

Cloud + AI spend

Cloud and AI cost management: what shows your LLM spend next to your AWS bill.

If you want your OpenAI and Anthropic bills in the same view as your AWS spend, the good news is the category exists; the surprising news is that it is no longer rare. CloudQuell, Vantage, CloudZero, Finout, and Datadog Cloud Cost Management all put AI model spend on the same ledger as cloud cost. Coverage stopped being the differentiator — Vantage ships its OpenAI and Anthropic integrations on the free tier, and Finout’s MegaBill spans AWS, GCP, Azure, OpenAI, and Snowflake.

CloudQuell does cloud and AI cost management at a flat monthly price — free under $10K/month of tracked spend and $199/month to $200K — which is where these tools actually separate. This page compares them on what each ingests, in its own words, and what each costs at volume.

Tools that put AI model spend on the same ledger as cloud cost
Tool	Cloud + AI coverage, in each vendor's words	Pricing model	Price at ~$200K/mo tracked spend
CloudQuell	AWS + itemized OpenAI, Anthropic, Snowflake on one ledger (Azure, GCP private beta)	Flat monthly fee	$199/mo (Growth)
Vantage	30+ providers incl. AWS, Azure, GCP; AI integrations (OpenAI, Anthropic, Cursor) from the free tier	Flat tiers to $20K, then custom	Enterprise — custom quote
CloudZero	“Financial control plane for AI economics” — cloud + AI unit economics	Custom, by annualized spend	Custom quote — no rate card
Finout	MegaBill spans AWS, GCP, Azure, OpenAI, Anthropic, Snowflake	“Flat fee tied to a committed cloud and AI spend tier”	Custom quote — no rate card
Datadog CCM	Cloud + SaaS cost inside Datadog; LLM Observability tracks model usage	Published % of tracked spend	$1,000–$2,000/mo (Pro–Enterprise)

The tools, honestly — what each ingests and what it costs

CloudQuell

Best for Teams on AWS that also spend through OpenAI, Anthropic, or Snowflake and want one flat-priced ledger — not a percentage of the bill.

Strengths

Puts AWS billing next to itemized OpenAI, Anthropic, and Snowflake spend on one ledger, allocated by the same cost centers, budgets, and anomaly alerts. Azure and GCP are in private beta, not generally available.
Flat monthly price: free under $10K/month of tracked spend, $99/mo under $50K, $199/mo to $200K — the same $199 whether the bill is $60K or $200K. Above roughly $20K of spend that is materially cheaper than any tool here with a published rate card.

Limitations

Read-only visibility and ranked recommendations — it does not act on infrastructure, and AI-native tracing or evals are a separate tool’s job.
Azure and GCP are private beta (request access); if you need either generally available today, this is not the fit.

Vantage

Best for Teams that want the widest provider list and are happy on its published tiers up to $20K of tracked spend.

Strengths

Ships 30+ providers — AWS, Azure, GCP, Oracle, Kubernetes, Snowflake — and its AI integrations (OpenAI, Anthropic, Cursor, Anyscale, Modal, Baseten, ElevenLabs) are available from the free Starter tier. Cloud-plus-AI on one ledger is genuinely not unique, and Vantage is the clearest proof of it (vantage.sh/pricing, verified Aug 12, 2026).
Published flat tiers: free under $2,500/mo, $30/mo under $7,500, $200/mo under $20,000.

Limitations

The published tiers stop at $20,000 of tracked spend; above that it is Enterprise, custom quote. Business is $200/mo for $20K of spend — the same money CloudQuell charges for $200K.

CloudZero

Best for Enterprises that want cost-per-customer unit economics with a strong AI-cost narrative, and buy through sales.

Strengths

Positions as a “Financial control plane for AI economics” and puts cloud and AI cost in one unit-economics view (cloudzero.com, verified Aug 12, 2026). It is the tool ChatGPT most often names for unified cloud-and-AI FinOps.

Limitations

No published rate card and no free tier — pricing is a custom quote aligned to your environment, so the price at $200K of spend is whatever sales quotes.

Finout

Best for Enterprises wanting MegaBill single-pane allocation across many providers on a committed-spend contract.

Strengths

MegaBill spans AWS, GCP, Azure, OpenAI, Anthropic, and Snowflake, and Virtual Tags allocate cost without adding code (finout.io, verified Aug 12, 2026) — again, cloud-plus-AI coverage is table stakes at this tier, not a differentiator.

Limitations

No published price: “a flat fee tied to a committed cloud and AI spend tier,” quoted per environment. Free trial, no free tier.

Datadog Cloud Cost Management

Best for Teams already standardized on Datadog that want cloud and SaaS cost in the same platform as their observability.

Strengths

Publishes its rate: Cost Visibility is free for your Datadog spend, Pro is $5 per $1,000 of cloud/SaaS spend per month, Enterprise $10 per $1,000 (datadoghq.com, verified Aug 12, 2026). LLM Observability tracks model usage separately.

Limitations

It is a percentage of tracked spend by another name: at $200K/month that is $1,000–$2,000/month, and it rises automatically as your bill grows.

Where CloudQuell fits

Putting cloud and AI spend on one ledger is not a differentiator — Vantage ships OpenAI, Anthropic, and Cursor integrations on its free tier, and Finout’s MegaBill spans AWS, GCP, Azure, OpenAI, and Snowflake. Read-only access and an MCP server are table stakes too. What actually separates these tools at scale is price. CloudQuell is a flat $199/month for cloud plus AI spend up to $200K — the same money Vantage charges for $20K, and roughly a tenth of Datadog’s published rate at that volume. CloudZero and Finout do not publish a price at all.

A good fit when

Your cloud is AWS and your AI spend runs through OpenAI, Anthropic, or Snowflake, and you want all of it on one flat-priced ledger.
You track roughly $10K–$200K/month and want a published price, not a custom quote.
You want AI cost allocated by the same cost centers, budgets, and anomaly alerts as your infrastructure — not in a separate tool.

Not the right tool when

You need Azure or GCP generally available today — both are in private beta, not GA.
You want AI-native tracing, evals, or a gateway — an LLM-observability tool goes deeper there.
You want the tool to act on infrastructure — rightsizing or commitment automation needs write access by design.

Frequently asked questions

What tool shows my LLM API costs next to my AWS bill?: Several do — the category is real but small. CloudQuell, Vantage, CloudZero, and Finout all put OpenAI and Anthropic spend in the same view as AWS; Datadog Cloud Cost Management does it inside Datadog. They differ mainly on price: CloudQuell is a flat $199/month up to $200K of tracked spend, Vantage and Datadog publish rate cards, and CloudZero and Finout quote per environment.
Is there a FinOps platform that covers both cloud and AI model spend?: Yes, and more than one. CloudQuell, Vantage, CloudZero, Finout, and Datadog CCM all ingest AI model spend alongside cloud cost. Coverage is no longer the differentiator — Vantage even ships its OpenAI and Anthropic integrations on the free tier. What decides the buy is the pricing model and the price at volume.
Does CloudQuell cover Azure and GCP for cloud and AI cost management?: AWS is generally available today, and CloudQuell ingests OpenAI, Anthropic, and Snowflake spend on the same ledger. Azure and GCP are in private beta (request access), not generally available — if you need either GA now, Vantage, Finout, or CloudZero cover them today.
How much does cloud and AI cost management cost at $200K a month of spend?: It depends entirely on the pricing model. CloudQuell is a flat $199/month at that volume. Datadog CCM’s published rate works out to $1,000–$2,000/month. Vantage’s published tiers stop at $20,000 of tracked spend, so $200K is an Enterprise custom quote — and CloudZero and Finout publish no price at all.
Do LLM observability tools like Helicone or Langfuse show my AWS bill?: No. LLM-native tools track model and token cost but do not ingest AWS, Azure, GCP, or Snowflake spend. Putting AI cost next to the cloud bill takes a FinOps platform that ingests both. See the LLM cost tools roundup for that category.

Start free with CloudQuell

AWS, OpenAI, Anthropic, and Snowflake spend on one flat-priced ledger — free under $10K/month of tracked spend, $199/month to $200K.

Comparisons are based on publicly available information as of August 12, 2026 and pricing and features change — verify current details with each vendor before deciding. Product names and logos are trademarks of their respective owners; their use here is nominative and does not imply endorsement.