The CFO walks into the engineering all-hands. AWS spend is up 38% this quarter and they want to know which feature is responsible. You open Cost Explorer. Cost Explorer tells you EC2 went up. Thanks, Cost Explorer.
That gap is what every FinOps platform is trying to fill, and in 2026 there are roughly four credible answers worth comparing: CloudZero, Vantage, Infracost, and nOps. They overlap enough to be confusing and differ enough that picking the wrong one wastes a year of buying cycles. I’ve used three of the four in production environments and watched the fourth get rolled out at a friend’s startup. Here’s how I’d actually choose between them.
The category isn’t one category
The part nobody says clearly upfront: these tools don’t compete head-to-head. They sit at three different layers of the FinOps stack.
- Shift-left — catch cost issues before they’re merged. Infracost owns this.
- Allocation and visibility — who spent what, where, on which workload. Vantage is the strongest here.
- Unit economics and autopilot — cost per customer, cost per feature, automatic commitment management. CloudZero owns the unit economics framing; nOps owns the autopilot.
Most teams that take FinOps seriously end up with two tools, not one. Usually one shift-left tool and one allocation tool, sometimes a third for autopilot. The vendor decks all imply you need a single platform that does everything; the operators I talk to mostly run hybrids.
The other thing to get out of the way early: AWS Cost Explorer plus Compute Optimizer plus a Slack bot will get you about 70% of the way there if your spend is under roughly $50k/month. None of these tools justify themselves until your bill is large enough that the platform fee disappears into the noise.
Infracost: the only one your developers will actually open
Infracost is the easiest sell. You drop it into a GitHub Action, it runs against your Terraform plan, and it posts a comment on the PR saying “this changes your monthly cost by +$847.” That’s it. The mental model is pre-merge linting, just for cost.
In November 2025 they raised a $15M Series A led by Pruven Capital, with participation from Sequoia, Y Combinator, and Paul Copplestone (the Supabase founder). The headline launch alongside the round was AutoFix — which now opens AI-powered PRs to fix the cost issues it finds. One customer claims they remediated 300 issues in two weeks. I’m a bit skeptical of that number until I see the diff quality myself, but the direction is right: don’t just flag the oversized RDS, open the PR that downsizes it.
What Infracost does well:
- The OSS CLI is genuinely useful on its own. You can run it locally before opening a PR, no account needed.
- Diff comments change behavior. Engineers see the number on their PR, internalize it, and stop reaching for
db.r6i.4xlargeby reflex. - It supports OpenTofu and integrates with the Terraform module registry, plus Pulumi and CloudFormation in some configurations.
What it doesn’t do:
- Post-deploy attribution. Once the resource is live, Infracost has nothing to say about who’s actually using it.
- Kubernetes pod-level cost. It works at the IaC layer, so anything created inside a cluster is invisible.
- Autonomous purchasing. It will tell you to buy reserved capacity. It won’t go buy it.
Pricing has gotten less transparent as they’ve moved upmarket. The OSS tier is free forever, the Cloud tier is “talk to us” for anything serious. As of mid-2026 that mostly works out to a per-engineer seat model — budget $20-40/engineer/month if you’re a mid-sized team, and assume the number creeps up at renewal.
I think Infracost is close to a default install for any team running serious Terraform. It pays for itself the first time it catches a stray aws_db_instance someone copy-pasted from staging into prod.
Vantage: the spreadsheet that actually loads
Vantage is what happens when the people who built DigitalOcean’s billing system decide to make a generic cloud bill aggregator. The unloved-but-honest pitch: your AWS, GCP, Azure, Snowflake, Datadog, Databricks, MongoDB Atlas, and Kubernetes bills, normalized and queryable in one place, without making you write a custom data pipeline.
Pricing is refreshingly straightforward. The 2026 tiers:
- Starter: free, capped at $2,500 in tracked monthly spend
- Pro: tracked spend up to $7,500, includes Autopilot for EC2 commitments
- Enterprise: unlimited accounts, RBAC, premium support, Kubernetes efficiency metrics
- Above $20k/month tracked spend: custom pricing via AWS Marketplace private offer
“Tracked spend” is what Vantage sees, not what you pay them. The actual platform fee scales with the spend you connect, and the public number works out to roughly 1-3% depending on tier and contract terms.
What Vantage does well:
- More integrations than anyone else. They added MongoDB Atlas, Linear, Vercel, and a long tail of SaaS bills before competitors realized that mattered.
- The Cost Reports DSL is genuinely powerful once you learn it. SQL-like, version-controllable, lets you build dashboards that survive org changes.
- Network Flow Reports show AWS data transfer cost by source and destination. Sounds boring until you find the $9k/month NAT gateway nobody could explain.
- Autopilot for Reserved Instances and Savings Plans actually works and uses Vantage’s pooled commitments to absorb the risk on shorter durations.
Where it falls short: Vantage doesn’t really do unit economics. You can group costs by tag, environment, or service, but if you want to answer “what does it cost to serve customer ACME Corp,” you’ll be writing custom queries and probably hitting walls. That’s CloudZero’s territory.
CloudZero: the one finance actually wants
CloudZero is opinionated in a specific way: they believe the only cloud cost question that matters is “cost per business outcome.” Cost per customer. Cost per feature. Cost per AI token. The whole product is built around something they call CostFormation — basically a configuration-as-code allocation engine that lets you express business logic without needing perfect tagging upstream.
Pricing runs roughly 1-2% of your managed cloud spend, billed in tiers tied to $1k of AWS spend. If you’re running $20k/month in AWS, that’s somewhere in the low hundreds per month; at $200k/month, low thousands. Annual contracts only at the upper end. Discounts get aggressive above about $5M in annual cloud spend, where CloudZero will negotiate down to 30-50% off list, and bigger accounts can push that further.
What CloudZero does well:
- Allocation without perfect tagging. This is the headline feature and it’s real. You write rules in CostFormation that infer ownership from naming conventions, account boundaries, or call patterns.
- AI cost attribution that holds together. They split out Bedrock, OpenAI, Anthropic, and Vertex spend by tenant and surface it in the same unit economics view as your compute.
- Dashboards the CFO will read without translation. That’s not nothing — half the value of a FinOps tool is putting numbers in front of the people who control budget.
Where it stalls: it’s expensive at small scale, onboarding is consultative (read: weeks of meetings before you see real value), and if you just want a bill aggregator without the unit economics framing, you’re paying a premium for capability you won’t use. CloudZero is roughly a $50k/year commitment minimum for it to feel worth the lift.
For a SaaS company with paying customers and a growing AI inference budget that needs to justify margins to a board, CloudZero is the answer. For a 10-engineer startup spending $5k/month on cloud, it’s overkill bordering on absurd.
nOps: the one that buys things while you sleep
nOps is the autopilot of this category. Their pitch is that you connect them to your AWS account, they take over Reserved Instance and Savings Plan management, and you pay them a percentage of the savings they generate. No platform fee, no upfront commitment, no pressure to standardize on anything else.
The “savings-first” pricing is genuinely the most aligned model in the category. nOps only gets paid after delivering measurable savings, with no upfront fees and no long-term contracts. They claim to manage over $4B in annual cloud spend across their customer base and to deliver 50%+ savings on rate optimization. The 14-day free trial covers the visibility and allocation features so you can poke around before letting them touch commitments.
What I like about it:
- The risk profile is almost zero. If they don’t save you money, you don’t pay.
- Commitment management is genuinely hard to do well manually, and nOps abstracts it away with what they call a 100% utilization guarantee on the commitments they manage.
- Visibility, allocation, and basic reporting come bundled in the free tier alongside the autopilot. That’s unusually generous.
What I’m less sold on:
- The savings calculation is the whole game. How “savings” gets measured is the kind of thing that ends up in contract negotiations. Get the baseline math nailed down before signing.
- Less polished than CloudZero or Vantage on the analytics side. Pretty dashboards aren’t the differentiator here.
- AWS-first. Azure and GCP support exists but is younger and less battle-tested as of 2026.
If you’re an AWS-heavy shop with $100k+/month in EC2 and you don’t have a dedicated FinOps person to manage commitments manually, nOps is probably the highest ROI per hour of evaluation time on this list.
What about Kubernetes specifically
Kubernetes cost allocation is its own pit of despair, and none of the four were originally built for it. The state of the art in 2026 looks like this:
- OpenCost: the CNCF project. Open source, the de facto standard data model. Self-host it or pay someone to host it for you.
- Kubecost (now part of IBM after the Cloudability acquisition swept it in): the commercial OpenCost distribution.
- Vantage Kubernetes: solid namespace and label-level allocation, included in Enterprise. If you’re already on Vantage, path of least resistance.
- CloudZero K8s: pulls Kubernetes spend into the broader unit economics view, which matters a lot if your customer sharding lives at the namespace level.
If Kubernetes is more than 30% of your spend, you probably want a Kubernetes-native tool, not a Kubernetes module bolted onto a generic FinOps platform. OpenCost plus Grafana is a perfectly defensible stack for a team with a strong platform org.
A worked example: 200-engineer SaaS at $400k/month cloud spend
Take a hypothetical mid-market SaaS company. 200 engineers, $400k/month AWS bill, 60% on EC2/EKS, 20% on data services (RDS, DynamoDB, Snowflake), 15% on AI inference (Bedrock + OpenAI), 5% miscellaneous.
Rough monthly platform cost across the four, before negotiated discounts:
- Infracost Cloud: priced per engineer touching IaC, call it $4-8k/month for the relevant cohort
- Vantage Enterprise: roughly 1.5% of tracked spend, ballpark $5-7k/month at this scale
- CloudZero: roughly 1.5% of managed spend, ballpark $5-7k/month, expect a 30-40% discount on a multi-year annual
- nOps: percentage of realized commitment savings — could net them $10-30k/month, but only after they actually save you 2-3x that on your EC2 baseline
So the rational stack at this scale is probably Infracost plus one of (Vantage OR CloudZero) plus nOps. That works out to $20-40k/month in platform spend, justified by 5-15% reduction on a $400k bill ($20-60k/month in actual savings). The math pencils out, but only barely if you do it badly. Below $100k/month cloud spend, the same stack stops making sense and you should run AWS-native tools plus Infracost until you outgrow them.
What none of these solve
A few expectations to manage:
- AI inference cost attribution by end-user is still a dumpster fire across all four. They can split spend by API key. Mapping API key to user requires you to send the metadata, and almost nobody does it cleanly.
- Multi-cloud egress costs are chronically under-reported. The underlying bills don’t make it easy and the tools mostly inherit that opacity.
- Forecasting is, charitably, a regression on last quarter. Don’t make capacity decisions based on FinOps platform forecasts alone.
- None of them will fix a tagging culture problem. They make it survivable, but a team that doesn’t enforce ownership tags will struggle no matter what they buy.
Where I’d start
If I were standing up a FinOps practice from scratch tomorrow at a 50-person engineering org spending $50-150k/month, here’s the rollout I’d run: install Infracost on day one, sign up for Vantage’s free Starter tier in parallel and let it ingest a month of data so the cross-account view fills in, then bring in nOps the moment Reserved Instance management starts feeling like a part-time job for someone.
CloudZero is the right answer when finance starts asking customer-level margin questions and “we’ll get back to you” stops being acceptable. That’s usually a Series B problem, not a Seed problem.
The thing nobody tells you in the demo: the platform is the easy part. The hard part is getting engineering leaders to look at the dashboard every week and actually act on what they see. Pick the tool that the people on your team will open on a Tuesday morning when nobody’s watching.