unitcostai

Break-even Price

What should I charge to hit my target margin?

How this tool works

This reverse calculator gives you the required monthly price at a target gross margin so you can evaluate packaging, pricing, and model choices for a live workflow.

How It Works

  1. Set realistic usage and cost assumptions plus a target gross margin.
  2. Compute total cost per user/month from independent cost components.
  3. Back-calculate required price and compare against your current plan.

Formula

required_price = cost_per_user_month / (1 - target_margin_pct / 100)

Assumptions and Units

  • Currency: USD
  • Token unit: token
  • Inputs are explicit; no hidden defaults are applied after load
  • Pricing source: daily pricing snapshot in repo, no runtime scraping

Example Scenario

If your current seat price is $49 and required price at 80% margin is materially lower, you have margin room; if it is higher, consider pricing tiers or cost optimization before growth.

FAQs

Does this replace the cost calculator? No. Use it with AI Workflow Cost to calibrate assumptions first.

Can I use this for LLM feature pricing? Yes. It is built for LLM pricing decisions where margin targets must stay explicit.

Related resources: AI Workflow Cost, Agent Run Cost, Tool Use Cost, Human-in-the-Loop Cost, Compare Model Costs, AI Cost Estimation, Internal AI Assistant Cost per Employee, How To Price AI Agent Usage With Credits, Caps, and Margin, RAG Break-even Price per Seat, AI Break-even Price: Formula and Margin Examples, How Much Does an AI Agent Cost?, AI Support Agent Cost per Ticket.

Pricing snapshot: 2026-07-29Provider: OpenAIModel: GPT-5 Mini

Step 1 Provider and Model

iSelect pricing rows from the active snapshot.

Step 2 Quick Mode

iSet the key pricing and behavior assumptions first.

Steady usage, moderate context, and balanced quality-cost tradeoffs.

Optional Advanced assumptions

iTune retrieval, reranking, embeddings, vector, cache, and infra.
Show advanced inputs

Scenario actions

Copy scenario URL

Paste into ChatGPT or Claude, or share with a teammate.

Save and track this scenario

Track pricing drift on this scenario and get an email if the latest result changes.

How tracking works

After you click Save and track, we carry this exact calculator state into the tracked-scenarios page so you can sign in and confirm the save.

We save your assumptions and the pricing snapshot used for this result.

When a newer pricing snapshot lands, we recompute the same scenario, show what changed, and email you if the latest result moved.

1 tracked scenario free, then $12/mo or $120/yr for up to 25 tracked scenarios.

Decision Signal

Price likely supports target margin

Required price at 80.0% margin: $9.76 per user/month.

Current price: $49.00. Price gap to target: $-39.24.

Cost / user / month

$1.95

Break-even price (0% margin)

$1.95

Required monthly revenue

$6,346

Implied monthly gross profit

$5,077

Top Cost Drivers

iLargest sensitivity shifts when each variable is increased by 10%.
Requests Per User Month10.0%
Rerank Docs9.2%
Cache Hit Rate-3.3%

Totals

iPricing and margin summary under current assumptions.
Cost per request
$0.01627
Cost per user/month
$1.95
Current gross margin %
96.0%
Required price at target margin
$9.76
Cost per request$0.01627
Cost per user/month$1.95
Current gross margin %96.0%
Required price at target margin$9.76

Component Breakdown (USD/user/month)

iEach component is computed independently then summed.
Generation
$0.11
Retrieval
$0.04
Reranking
$2.40
Embeddings Ingestion
$0.00
Vector Db
$0.00
Cache
$-0.65
Infra
$0.05
Generation$0.11
Retrieval$0.04
Reranking$2.40
Embeddings Ingestion$0.00
Vector Db$0.00
Cache$-0.65
Infra$0.05
Sensitivity RankingiDelta in total cost if one variable increases by 10%.
VariableDelta cost %
Requests Per User MonthiUser activity level per month.10.0%
Rerank DocsiDocs reranked per request.9.2%
Cache Hit RateiFraction of requests served by cache.-3.3%
Output TokensiGenerated tokens per request.0.3%
Retrieved ChunksiRetrieved chunk count per request.0.2%
Tokens Per ChunkiAverage chunk size in tokens.0.2%
Input TokensiPrompt-side tokens per request.0.1%
Vector Queries Per RequestiVector query count per request.0.0%
Monthly Active UsersiActive-user estimate used to amortize fixed monthly embedding refresh.-0.0%

Assumptions and Units

iExplicit assumptions keep this decision reproducible.
  • CurrencyUSD
  • Token unittoken
  • Pricing snapshot2026-07-29
  • Selected model rowOpenAI/GPT-5 Mini
  • Volume basisBusiness totals and fixed monthly terms use monthly active users as the denominator
  • Target margin formularequired_price = cost / (1 - margin)

Recommended Next Step

iUse this section to turn break-even math into a pricing plan.

If retrieval or hosting is driving cost, check infra options first, then come back to re-check price and margin.

Pricing and Packaging Plan

RAG Break-even Price per SeatAI Break-even Price: Formula and Margin Examples

Compare infra providers

View Infra Recommendations

Sources and Snapshot

iPricing comes from the current dated snapshot.

Active Pricing Row

Selected model

OpenAI / GPT-5 Mini

  • Input tokens$0.25 / 1M
  • Output tokens$2 / 1M

Shared retrieval defaults

  • Embedding input$0.02 / 1M
  • Rerank docs$1 / 1K

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