AI Cost Calculator — API vs Hosted Agent Plans

Ballpark retail API monthly spend next to hosted agent economics. Educational estimates only — all math runs in your browser.

CLIENT-ONLY • NO DATA SENT

Presets

0%

Blend (optional)

40% economy / 60% premium

When blend is used, API estimate uses the weighted average of the two models’ list prices.

Side-by-side B

Volume and token assumptions are shared with the primary column.

Add-ons (public SKUs)

Embedding row uses OpenAI text-embedding-3-small list price; verify on OpenAI’s pricing page.

Sources (verify before relying)

Results

Vendor list prices last verified:

Mid estimate $0.00 / mo API (primary model path)

Sensitivity Low $0 · High $0 (±20% tokens/msg)

Model B API estimate: $0/mo

Implied AI Tasks / month (CloudAxis-style): 0 (messages/mo × task multiplier)

Smallest CloudAxis tier that fits published task cap:

ChatGPT Plus / Claude Pro are consumer subscriptions, not API list prices. Row below is for context only.

Consumer context: ChatGPT Plus ≈ $20/mo · Claude Pro ≈ $20/mo — different limits & TOS than API pay-as-you-go.

Advanced: browser hours & Browserbase (third-party example)

Uses Browserbase public pricing (Developer-style: monthly platform + included hours + overage). This is not CloudAxis’s internal cost.

Browser host estimate (illustrative): $0.00/mo

LLM API mid + browser illustrative: $0.00/mo

CloudAxis includes browser minutes per pricing — compare those caps to your DIY stack needs.

Export & share

URL updates as you edit (shareable hash).
Mini glossary
  • Input tokens — tokens you send (prompt, system, tools context).
  • Output tokens — tokens the model generates in the reply.
  • Per 1M — dollars per million tokens at list price.
  • Cached input — some providers discount repeated prompt prefixes; % is illustrative.

What we did not model

  • Enterprise discounts, tax, prepaid credits, free trial credits.
  • Image/video token accounting beyond the rough “$/image” box.
  • Regional pricing / FX.
  • Annual prepay: check each vendor’s page — many offer discounts not reflected here.

· Wrong price? Open an issue · AI token counter (paste → rough tokens) · Source · GitHub Pages

Why model this inside an Agent OS?

CloudAxis hosts frontier models per agent with hard spending caps. This calculator helps you compare raw API list prices against flat plan economics before you assign models to scheduled browser and research agents. For per-run precision on OS task types, use the Agent Run Cost Estimator.

5 use cases

  • Estimate monthly LLM spend for a daily competitor price monitor before launching it.
  • Compare API-only coding agent costs vs hosted models inside the OS.
  • Model token growth when you add a second specialist to a workflow.
  • Build a business case for hard caps vs pay-per-token surprise bills.
  • Share ballpark numbers with finance without uploading real usage data.

Frequently asked questions

Monthly cost uses your inputs (messages per day, tokens per message, active days) multiplied by published per-million input/output list rates for each model. Hosted-plan rows compare flat CloudAxis caps against raw API math.
No. Inputs and scenarios stay in your browser via localStorage only — nothing is uploaded to CloudAxis servers.
Hosted models follow public list pricing; your plan may include credits or volume discounts. Use this for planning, then confirm in the OS usage dashboard.
The token counter estimates tokens for a single paste. This calculator models recurring volume and monthly totals.
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