# The Best FinOps Tools for AI in 2026

> Ten tools that track and cut OpenAI, Anthropic, Bedrock, and GPU spend: what each one does well and who it suits.

Source: https://levelfour.ai/blog/best-finops-tools-for-ai

Updated: 2026-10-23

October 23, 2026. By [Bruno Rocha](https://www.linkedin.com/in/brunorochadasilva/), Founder.

AI now sits on most technology bills, and it bills unlike anything else there. Model APIs charge by the token, prices change with each model release, and one new agent loop can double a team's spend within a week. A FinOps tool for AI has to read those bills, split them by model, key, and team, and help you spend less on them.

We looked at ten tools through each vendor's own documentation and pricing pages, as of October 2026: which AI bills each one reads, how much detail it gives, how it allocates spend, what it can change for you, and how it charges. We make LevelFour, so it comes first. Each claim about the other nine links to that vendor's page.

## The ten tools at a glance

| Tool | Primary focus | AI spend covered | Standout capability | Best fit |
| --- | --- | --- | --- | --- |
| LevelFour | One system of record for Cloud, SaaS, and AI spend that ships the savings | OpenAI, Anthropic, Cursor, AI compute providers, and AI services on your cloud bills | Savings applied for you or as a pull request, then confirmed on the bill | Teams that want AI and cloud spend allocated and the savings shipped for them |
| Vantage | Cost reports across 40 cloud, SaaS, and AI integrations | OpenAI, Anthropic, Cursor, and more, plus Bedrock, Vertex AI, and Azure OpenAI | Self-serve plans and automated AWS Savings Plans | Teams that want self-serve reports with published prices |
| Finout | Allocation of cloud and AI spend in one cost model | OpenAI, Anthropic, Cursor, and the AI services on your cloud bills | MegaBill, Virtual Tags, and a canonical AI taxonomy | FinOps and finance teams allocating across many providers |
| CloudZero | Allocation and unit economics | OpenAI, Anthropic, Cursor, and AI on AWS, Google Cloud, and Azure bills, plus real-time AI Signals for Bedrock, Vertex AI, and gateways | Cost per customer or feature from your own telemetry | Companies measuring AI spend against product usage |
| Datadog Cloud Cost Management | Cost next to observability data | OpenAI, Anthropic, Cursor, GitHub Copilot, Bedrock, Vertex AI, Gemini, Azure AI Foundry | Costs beside the metrics and traces of the same services | Teams that already run on Datadog |
| Harness Cloud & AI Cost Management | Cost module of a software delivery platform | OpenAI, Anthropic, Cursor, Devin, GitHub Copilot, Bedrock, Vertex AI, Azure AI Foundry | AutoStopping for idle non-production resources | Teams that build and deploy with Harness |
| nOps | Automated commitments and Kubernetes compute | OpenAI, Anthropic, Cursor, Bedrock | Commitments managed for a share of the savings | Teams with large commitment portfolios |
| IBM Cloudability | Enterprise FinOps across cloud, AI, and SaaS | OpenAI, Anthropic, and Cursor, and Azure OpenAI and Vertex AI from the cloud bills | Business mapping and chargeback at enterprise scale | Large enterprises on IBM's Apptio suite |
| Cast AI | Kubernetes automation | Model calls routed through its LLM gateway | Autoscaling, Spot, and GPU sharing in the cluster | Teams whose AI runs on Kubernetes GPUs |
| Zylo | SaaS and AI subscription management | OpenAI, Anthropic, Vertex AI, and Claude Enterprise (public preview) | Renewal tracking and seat reclamation through Okta or Microsoft Entra | Procurement and IT teams managing AI licenses |

Sources: each vendor's own documentation and pricing pages, October 2026.

## 1. LevelFour

LevelFour is one system of record for Cloud, SaaS, and AI spend, and it ships the savings it finds.

- AI billing from OpenAI (the API, ChatGPT Enterprise, and Codex), Anthropic (the Claude API, Claude Enterprise, and Claude Code), Cursor, DeepSeek, and AI compute providers such as Hugging Face, Modal, Baseten, CoreWeave, and Nebius, next to AWS, Google Cloud, Azure, and SaaS such as Datadog and Snowflake.
- AI bills by model and key, and usage by person and team. LevelFour reads usage metrics such as tokens and models; your prompts and responses stay in your tools.
- Virtual tags that allocate every provider to your teams: one rule can give team=Payments an AWS account, an OpenAI project, and an Anthropic workspace.
- Savings applied in your cloud with write access scoped to that one change, or shipped as an infrastructure-as-code pull request your engineers merge, including AI workloads such as Bedrock throughput and idle Vertex AI notebooks. Savings Audit then confirms each saving on your bill.
- Budgets, forecasts, and anomaly alerts in Slack, Microsoft Teams, Jira, or any webhook, and an MCP server for Claude Code, Cursor, and other MCP clients.

Pricing: Cloud Savings costs 30% of realized savings, and nothing if nothing is saved. Plans that include AI spend start at $30 a month. [See pricing](https://levelfour.ai/pricing.md).

Best for: teams that want AI and cloud spend allocated in one place and the savings shipped for them.

## 2. Vantage

Vantage reads bills from 40 integrations across cloud, Kubernetes, SaaS, and AI, custom providers included, into one set of reports, budgets, and virtual tags.

- Connectors for OpenAI and Anthropic by project, workspace, and API key, and token detail for Bedrock from its invocation logs.
- Autopilot, which buys AWS Savings Plans for 5% of the savings.
- A FinOps Agent in Slack that buys AWS Savings Plans and Reserved Instances and cleans up AWS waste, on its own or after an approval. Automated cleanups cost 10% of the realized savings.
- Published prices: free up to $2,500 of monthly tracked spend, $30 a month up to $7,500, $200 a month up to $20,000, then custom. [Vantage pricing](https://www.vantage.sh/pricing).

Best for: teams that want self-serve cost reports with published prices.

## 3. Finout

Finout merges cloud, data platform, and AI bills into one cost model it calls MegaBill and allocates it with Virtual Tags.

- Connectors for OpenAI by project, API key, model, and token type, and for Anthropic by workspace and API key. [Finout AI integrations](https://docs.finout.io/billing-integrations/ai-providers).
- A canonical AI taxonomy that sorts model spend from AWS, Google Cloud, and Azure bills by brand, family, and token type.
- CostGuard savings scans and AI agents (in beta), with Jira and Slack integrations.
- An annual flat fee by committed spend tier. [Finout pricing](https://www.finout.io/pricing).

Best for: FinOps and finance teams allocating spend across many clouds, data platforms, and AI providers.

## 4. CloudZero

CloudZero allocates cloud and AI spend with its CostFormation rules and divides it by your own telemetry to report unit costs, such as cost per customer.

- Connectors for OpenAI, Anthropic, and Cursor, and AnyCost for any other source.
- AI Signals, launched in September 2026 with parts in preview, which shows AI spend from Bedrock, Vertex AI, and gateways such as LiteLLM by person, team, and activity within minutes, as estimates that reconcile to the provider bill. [CloudZero AI Signals](https://www.cloudzero.com/press-releases/20260923/).
- Daily savings recommendations with realized-savings tracking.
- A hosted MCP server and a Claude Code plugin. [CloudZero MCP server](https://docs.cloudzero.com/docs/ai-mcp-server).

Best for: companies that measure AI spend against product usage and customers.

## 5. Datadog Cloud Cost Management

Datadog Cloud Cost Management puts cloud, SaaS, and AI costs next to your monitoring data.

- OpenAI and Anthropic costs allocated by API key, and Bedrock and Vertex AI from the cloud bills. [Datadog on AI costs](https://www.datadoghq.com/blog/cloud-cost-management-ai-costs/).
- Container cost allocation, GPUs included.
- Recommendations that open Jira issues, and pull requests for some S3, DynamoDB, and Kubernetes recommendations through Bits Code, Datadog's coding agent, billed in AI credits.
- Scheduled automations, billed as Datadog Workflows, that delete or migrate idle resources on AWS, Google Cloud, and Azure, with optional approval in Slack or Microsoft Teams.
- Published prices: from $5 per $1,000 of monthly cloud and SaaS spend on the Pro plan, billed annually. [Datadog pricing](https://www.datadoghq.com/pricing/?product=cloud-cost-management).

Best for: teams that already run their observability on Datadog.

## 6. Harness Cloud & AI Cost Management

Harness Cloud & AI Cost Management is the cost module of the Harness software delivery platform.

- AI cost management, in beta: OpenAI and Anthropic by API key, and Bedrock, Vertex AI, and Azure AI Foundry from the cloud bills, by model and token type. [Harness Cloud & AI Cost Management](https://www.harness.io/products/cloud-ai-cost-management).
- AutoStopping, which turns off idle non-production resources on AWS, Azure, Google Cloud, and Kubernetes.
- A Commitment Orchestrator that buys and manages AWS Savings Plans and Reserved Instances for EC2, RDS, and ElastiCache, a Cluster Orchestrator for EKS autoscaling and Spot, and governance rules that stop or delete resources on a schedule.
- Sold as a module on Harness's Enterprise plan. [Harness pricing](https://www.harness.io/pricing).

Best for: engineering teams that already build and deploy with Harness.

## 7. nOps

nOps automates commitment management and Kubernetes compute.

- Reserved Instances, Savings Plans, and committed use discounts bought and managed across AWS, Azure, and Google Cloud, priced as a share of the savings.
- Spot and rightsizing for EKS, Auto Scaling groups, and AWS Batch, with Karpenter and Cluster Autoscaler support.
- AI cost connectors for OpenAI, ChatGPT Enterprise, Anthropic, Claude Enterprise, and Cursor, and Bedrock from the AWS bill. [nOps integrations](https://help.nops.io/integrations/openai-enterprise).

Best for: teams with large commitment portfolios that want them managed for them.

## 8. IBM Cloudability

IBM Cloudability, from Apptio, is an enterprise FinOps platform for cloud, AI, and SaaS spend.

- Business mapping, cost sharing, and chargeback at enterprise scale.
- Direct OpenAI, Anthropic, and Cursor connectors (Codex in preview), and Azure OpenAI tokens and Vertex AI characters from the cloud bills.
- Recommendations, ITSM tickets, and automated cleanup of orphaned resources, with commitment purchasing through the separate Cloudability Savings Automation product.
- Essentials, Standard, and Premium plans. [IBM Cloudability](https://www.apptio.com/products/cloudability/).

Best for: large enterprises that run IBM's Apptio suite.

## 9. Cast AI

Cast AI automates Kubernetes clusters on EKS, GKE, AKS, and OKE, and on premises.

- Autoscaling, node consolidation, Spot, and workload rightsizing, applied in the cluster within the policies you set.
- GPU sharing through time-slicing and MIG, and MPS on GKE.
- An LLM gateway, Kimchi, that tracks the cost of the model calls routed through it.
- A 30-day trial. [Cast AI](https://cast.ai/).

Best for: teams whose AI runs on GPUs in Kubernetes.

## 10. Zylo

Zylo manages SaaS and AI subscriptions: seats, renewals, and usage-based contracts.

- Connectors for OpenAI and Anthropic, with Claude Enterprise usage by person and department in public preview.
- Seat reclamation for SSO-connected apps through Okta or Microsoft Entra on the Premium and Enterprise plans, and renewals ranked by savings.
- Usage alerts and forecasts for consumption-based contracts. [Zylo](https://zylo.com/product).

Best for: procurement and IT teams that manage AI licenses and renewals.

## How to choose

Start from the bill you need to explain. If most of your AI spend goes to the OpenAI and Anthropic APIs, look for direct connectors and API-key detail. If it runs through Bedrock or Vertex AI, compare how each tool allocates the cloud bill. If GPUs drive the cost, look at the Kubernetes tools. Then decide how much you want the tool to change for you, from reports and tickets to savings applied on your behalf.

LevelFour reads your Cloud, SaaS, and AI bills in one place and ships the savings it finds. [See what LevelFour can save you](https://levelfour.ai/sign-up) in 5 minutes, with read-only access.

## Frequently asked questions

### What is the best FinOps tool for AI?

It depends on where your AI spend comes from and how much you want done for you. For model APIs such as OpenAI and Anthropic, tools with direct connectors and API-key detail include LevelFour, Vantage, Finout, and Datadog. For AI on Bedrock or Vertex AI, any tool that reads your cloud bill sees it. Several also act on spend: Vantage buys AWS Savings Plans, Datadog opens pull requests and runs scheduled cleanups, and LevelFour applies savings for you or as a pull request.

### Which FinOps tools track OpenAI and Anthropic costs?

Of the tools in this guide, LevelFour, Vantage, Finout, CloudZero, Datadog, Harness, nOps, IBM Cloudability, and Zylo connect to OpenAI and Anthropic directly. Cast AI tracks the model calls routed through its own LLM gateway.

### How much do FinOps tools for AI cost?

LevelFour, Vantage, and Datadog publish their prices: 30% of realized savings for LevelFour's Cloud Savings and plans from $30 a month; Vantage free up to $2,500 of monthly tracked spend, then $30 a month up to $7,500 and $200 up to $20,000; Datadog from $5 per $1,000 of monthly cloud and SaaS spend on Pro, billed annually. The others price by quote. [See LevelFour pricing](https://levelfour.ai/pricing.md).

### Does FOCUS cover AI spend?

For AI billed through a cloud, yes: Bedrock spend appears in the AWS FOCUS export. OpenAI and Anthropic did not publish FOCUS data as of October 2026, and the specification plans token columns for version 1.5. [What is FOCUS?](https://levelfour.ai/glossary/focus-specification.md).

## See what LevelFour can save you

[Start free trial](https://levelfour.ai/sign-up) · [Get in touch](https://levelfour.cal.com/)

## About LevelFour

The FinOps platform that actually cuts costs. One system of record for Cloud, SaaS, and AI spend. LevelFour applies each saving, or your engineers merge it as code.

- **Cloud Savings**: 30% success fee on savings found and applied. No hidden charges, only pay on what you actually save.
- **Pro**: $30 per month · Up to $2,500 spend/mo
- **Scale**: $200 per month · Up to $7,500 spend/mo
- **Enterprise**: Custom · Unlimited spend

[Pricing](https://levelfour.ai/pricing.md) · [Guide for agents (llms.txt)](https://levelfour.ai/llms.txt) · [Documentation](https://docs.levelfour.ai) · MCP server: `https://mcp.levelfour.ai/mcp`