Plan your AI budget
before the bill arrives.
Tell us what you want AI to do and roughly how many people will use it. Compute Atlas estimates usage, compares model strategies, and creates a shareable budget case.
Start free estimateAI support assistant
Start routine requests on Gemini 2.5 Flash-Lite.
Escalate harder or higher-risk requests to Gemini 2.5 Flash. Estimated blended spend: $44.25 / month.
- For a one-model plan, compare against Gemini 2.5 Flash (recommended reference).
- Escalate about 20% of traffic based on this workflow.
- Estimated model fees are $71.75 lower than that one-model comparison.
- Validate quality with representative prompts before treating this as achievable savings.
$87EXPECTED
$116HIGH
$174
Usage range: 75%–150% of your expected assumptions
Why model choice matters
This shows how much model choice can change your bill. It is not guaranteed savings: test quality, speed, retries and privacy before switching.
Start / escalate strategy
Start routine FAQs on the cheaper model, then escalate account, complaint, or non-FAQ cases.
$26.31 / month estimate. Good first test for FAQs, routine triage, and repeatable customer questions.
Open provider$115.99 / month if used for all traffic. Use selectively for angry customers, account-specific issues, and complex technical cases.
Open providerAssumes about 80% starts on Gemini 2.5 Flash-Lite and 20% escalates to Gemini 2.5 Flash.
Price-only comparison against every request using Gemini 2.5 Flash. Test output quality before treating the difference as savings.
- the answer needs account, order, CRM, database, or other tool lookups
- the first answer fails schema, JSON, or required-format checks
- customer is upset, high-value, or asks a non-FAQ question
- the first answer fails a quality check or the user asks for a retry
Some provider links may become partner links. Recommendations should remain based on fit, cost, and testing results.
03Budget-fit model options
Public list prices for the same workload, filtered by compatible capabilities.
Open table · 7 compatible
Budget-fit model options
Public list prices for the same workload, filtered by compatible capabilities.
Tap a company chip to filter the model list. Tap a model row action to change the planning strategy.
No region preference: 7 compatible models match this origin lens. This is a discovery aid, not proof of regional availability, data residency, or hosting location.
Showing 6 of 7 compatible models ranked by estimated monthly spend. Use the row buttons to choose the all-traffic plan, routine starter, or hard-case escalation model.
Checking live model prices from Models.dev. Fallback prices are shown until the live catalog finishes loading.
Growth pressure test
Expected monthly spend using your start/escalate strategy.
You have the estimate. Turn it into an approval memo.
Includes budget request, pilot cap, success scorecard, risk controls, and approval wording for the person who needs to say yes.
Why this is free right now
The calculator, AI-assisted workflow analysis, model comparison, and approval memo are free while Compute Atlas learns which planning outputs users actually need.
- Use the estimate to test whether the budget range feels credible.
- Use the memo to see whether the output is strong enough for a manager, client, or finance reviewer.
05Share anonymous planning signal Optional
Consented signals for future workflow trend reports.
Open
Share anonymous planning signal Optional
Consented signals for future workflow trend reports.
Email is optional. Submitting here saves it with your consented signals, but it does not send a newsletter yet. Your full prompt text is not submitted.
These are planning, approval-memo, estimate-feedback and self-reported testing signals tied to a normalized workflow intent: category, tags, region, priority and generated summary. Verified usage comes later through bill imports, integrations, or routing.
A forecast you can audit.
Every result is derived from the assumptions you can see. Typing stays in the browser; optional AI analysis uses only your workflow description to estimate planning assumptions. Local rules are used when AI is unavailable. No recommendation claims that a cheaper model is equally capable.
Plan now. Monitor and optimize later.
Compute Atlas begins with transparent forecasts. Future customer features can compare forecasts with actual bills and identify evidence-backed savings.