OpenAI cost monitoring

Catch OpenAI overspend before the invoice does

CostMon connects to the OpenAI Admin API's usage and costs reports and merges them per model and per day, so a runaway agent loop or an o-series reasoning-token spike shows up in days, not a month later.

Start free See how it works

OpenAI Admin API — live today

OpenAI spend is uniquely easy to lose control of: a single agent stuck in a retry loop, or a switch to an o-series reasoning model, can multiply token usage overnight with no warning until the monthly invoice arrives. The OpenAI dashboard shows usage, but not the daily, per-project signal a team needs to catch it early. By the time finance sees the number, the spend is already spent.

Cost anatomy

What actually drives your OpenAI bill

Input vs. output token rates, per model: OpenAI prices input and output tokens separately per model, and reasoning (o-series) models can consume far more output tokens per response than a standard chat model answering the same prompt.
Reasoning-token spikes: o-series reasoning models generate internal reasoning tokens that bill as output tokens. A prompt that triggers deeper reasoning can cost far more than an equivalent standard-model call, with no visible change in the request itself.
Agent loops multiply calls, not just tokens: A single agent stuck in a retry loop multiplies the number of billed requests, not just their size. The failure compounds every time the loop runs.
Prompt caching changes the input rate: Reusing a long prompt prefix via automatic prompt caching bills the cached portion at a reduced rate. A workload resending the same long context repeatedly only gets the lower effective input price when caching hits.

Why CostMon

Built for OpenAI spend, from day one

Per-model, per-project visibility

See OpenAI spend broken down by model and by project instead of one opaque monthly total, so a shift toward a pricier model shows up immediately.

Catch the agent loop, not the invoice

A normalized daily view surfaces a runaway model-call pattern or an o-series reasoning-token spike while it's still a small number, not weeks later after it's compounded into a surprise bill.

One view, next to your cloud and AI spend

OpenAI spend lands in the same normalized table as AWS, Anthropic, and every other connected provider, so finance sees one honest number across your whole AI stack.

Read-only, cost-scoped credentials

CostMon connects with an organization Admin API key scoped to the usage and costs report endpoints only. It's read-only and never sees prompts, completions, or account settings.

$5,680avg. monthly OpenAI spend tracked
~16 daysearlier than the invoice
Dailynormalized sync

Getting started

Connect, sync, see — for OpenAI

01
Connect the OpenAI Admin API
Add a read-only organization Admin API key (sk-admin-...), optionally scoped to a single project. CostMon never sees prompts, completions, or account settings.
02
CostMon syncs and normalizes
Usage and cost reports are merged per day and per model, then reconciled into the same normalized model as every other provider you connect.
03
See the line before the invoice does
Open a daily, per-model view of OpenAI spend and catch a runaway agent loop or a reasoning-token spike weeks before it lands on a bill.

FAQ

Common questions about the OpenAI connector

How does CostMon connect to OpenAI?

Through an organization Admin API key (sk-admin-...), scoped to the usage and costs report endpoints only. Regular project API keys can't grant this access, and CostMon never requests access to prompts or completions.

Is OpenAI a live connector or still coming soon?

Live today. CostMon merges the Admin API's usage and costs reports per day and per model into the same normalized view as every other provider you connect.

Can CostMon break down OpenAI spend by model or project?

Yes. Usage and cost data merge on day and model, and you can optionally scope the connector to a single project, so you can see trends by model, by project, or grouped into cost buckets by team.

How is this different from the OpenAI usage dashboard?

The OpenAI dashboard shows usage on its own. CostMon normalizes that same cost data alongside AWS, Anthropic, and every other provider you connect, so OpenAI spend sits in one daily view next to the rest of your stack instead of a separate login.

What does the OpenAI connector cost?

A flat monthly rate per plan, not a percentage of your OpenAI spend or the savings CostMon helps you find. Free includes 2 connectors; Professional and Enterprise include unlimited connectors.

Connectors

Cloud, AI, and SaaS: all in one place

AWS, GCP, and Azure for cloud; Anthropic, OpenAI, Amazon Bedrock, Vertex AI / Gemini, and Helicone for AI and LLM spend; Snowflake and Databricks for the data cloud; Datadog, GitHub, and Vercel for the rest of the stack. Add CSV import for any tool without a native connector. That's 14 connectors, all normalized into the same unified view.

Connect a provider. See one number.

Connect your first provider and CostMon normalizes it alongside everything else you run. Your team gets one number everyone can check.

Start free See how to connect a provider