Size your AI & cloud costs — free calculators
Start here. Each one is explained in plain language: what to enter, what it tells you, and what to do with the result.
🧮 Agent Loop Cost - Multi-Turn Agent Budget with Runaway Risk
This calculator predicts your monthly AI bill while accounting for hidden costs when automated tasks get stuck in loops.
You'll need: Average steps your AI takes per task · Estimated words processed per step · Number of tasks your business runs daily · Risk percentage of the AI getting stuck
What it tells you: Your predictable monthly budget for normal operations · The hidden cost of 'runaway' tasks that loop forever · Comparison of agent costs versus simpler AI methods
What to do with it: Use the typical-case cost to set your monthly department budget · Set 'circuit breaker' limits on steps and spending to stop runaway costs · Decide if a complex agent is worth the price premium over a simpler tool
Open Agent Loop Cost - Multi-Turn Agent Budget with Runaway Risk on aicost.ai →
💬 If you want to automate complex workflows without the fear of a surprise bill, let's build your safety rails together.
🧮 AI Cost Calculator - A First-Principles Guide to LLM Pricing
This tool predicts exactly how much your new AI feature will add to your monthly software bill.
You'll need: Average length of your instructions and customer questions · Average length of the AI's written response · Estimated number of daily requests from your users · Choice of model quality: budget, balanced, or premium
What it tells you: Cost per individual request · Total estimated monthly budget · Price comparison between different AI providers
What to do with it: Use the monthly total to set your budget and determine if the feature is profitable. · Compare vendor prices to see if a cheaper model performs just as well for your task. · Adjust the model tier if the premium version is too expensive for your volume.
Open AI Cost Calculator - A First-Principles Guide to LLM Pricing on aicost.ai →
💬 If you want to skip the math, let’s hop on a call to build a custom AI roadmap that fits your budget.
🧮 Eval / Anti-Hallucination Cost - Continuous Scoring to Catch Silent Regressions
This tool ensures your AI stays accurate and reliable by catching hidden errors every time you update your system.
You'll need: The number of test examples you want to check · How often you plan to update your AI system · The cost of the high-quality AI model used for grading
What it tells you: The total monthly cost for quality control testing · The cost per individual update or release
What to do with it: Decide if your update frequency fits your monthly budget · Determine if you can afford to add more test cases for better accuracy
Open Eval / Anti-Hallucination Cost - Continuous Scoring to Catch Silent Regressions on aicost.ai →
💬 If you want a bulletproof quality control system without the setup headache, let’s chat about building your automated safety net.
🧮 Human-in-the-Loop Review Cost - Does Catching Incidents Pay for the Reviewers?
This calculator determines if paying staff to double-check AI work actually saves you more money than it costs.
You'll need: The hourly wage of your human reviewers · How often the AI makes a mistake · The average dollar cost of a single AI error
What it tells you: The total cost of human oversight · The total money saved by catching mistakes · Your net profit or loss from the review process
What to do with it: If savings are higher than costs, keep your human safety net in place. · If costs are higher, consider automating more or accepting a small error rate.
Open Human-in-the-Loop Review Cost - Does Catching Incidents Pay for the Reviewers? on aicost.ai →
💬 If you are unsure how to price the risk of an AI mistake, let's chat to build your safety strategy.
🧮 Voice Agent Stack - Full Architecture from STT to TTS
This calculator reveals the true all-in cost per minute to run a professional AI phone agent that actually sounds human.
You'll need: Total minutes of conversation your business handles daily · Percentage of calls needing high-speed natural responses versus slower basic tasks · Number of times the AI looks up data or uses software per minute · Estimated monthly working days
What it tells you: Total cost per minute including memory and transcript processing · Estimated total monthly investment for your specific call volume · Comparison of costs between ultra-fast and standard response speeds
What to do with it: Use the total monthly cost to compare against your current human staffing or outsourcing bills · Adjust the speed mix to find the sweet spot between natural conversation and budget savings · Identify if high tool usage is driving up costs and decide if those lookups are necessary
Open Voice Agent Stack - Full Architecture from STT to TTS on aicost.ai →
💬 If you want a custom blueprint for a voice agent that pays for itself, let’s hop on a brief call.
🧮 Audio Cost - Transcription, TTS, and Voice Agent Pricing
This calculator reveals the exact monthly cost of replacing or augmenting your phone staff with AI voice systems.
You'll need: Total minutes of audio you process daily · Percentage of calls requiring a live, talking AI · Estimated characters of AI speech generated daily
What it tells you: Total monthly cost for transcription and AI voice · Price comparison between basic recording and live conversation · The speed and quality trade-offs for your budget
What to do with it: Use the 'Pure STT' result to budget for simple call recording and notes · Use the 'Voice Agent' result to see if AI can profitably replace human receptionists · Choose the 'Realtime' option if natural, fast conversation is more important than saving pennies
Open Audio Cost - Transcription, TTS, and Voice Agent Pricing on aicost.ai →
💬 Let’s hop on a brief call to design a voice system that sounds human without breaking your budget.
🧮 Image Generation Cost - What You Actually Pay Per Kept Image
This calculator reveals the true cost of your marketing visuals by accounting for the multiple attempts it takes to get one perfect shot.
You'll need: How many final images you actually use each month · How many times you usually hit redo to get a good result · The quality level you need, from quick drafts to high-end hero shots
What it tells you: Your total monthly bill including the cost of discarded drafts · The 'real' price you are paying for every single image you keep · Comparison of costs across different AI image providers
What to do with it: Use the 'real price' to decide if AI is actually cheaper than stock photos or a designer. · If your waste is over 60 percent, switch to a simpler model or improve your instructions. · Identify the exact monthly volume where renting your own server becomes cheaper than paying per image.
Open Image Generation Cost - What You Actually Pay Per Kept Image on aicost.ai →
💬 If you are tired of burning budget on distorted faces and bad hands, let's hop on a call to build a workflow that gets it right the first time.
🧮 AI Margin Calculator - Is Your AI Feature Profitable?
This tool reveals if your AI features are actually making money or if heavy users are quietly draining your profits.
You'll need: Monthly revenue per user · Average monthly AI processing cost per user · Percentage of heavy power users · Your target profit margin percentage
What it tells you: Your true profit margin after accounting for heavy users · The exact price you should charge to hit your goals · A health score comparing your margins to industry standards
What to do with it: Check if your current price covers the high costs of your most active customers. · Decide if you need to add usage limits or cheaper AI models to protect your bottom line. · Adjust your subscription tiers based on the recommended price to ensure every user is profitable.
Open AI Margin Calculator - Is Your AI Feature Profitable? on aicost.ai →
💬 If your margins look thin, let’s hop on a brief call to optimize your AI setup and stop the profit leaks.
The cloud layers to optimize
Your bill is really two bills: the AI/API spend, and the cloud underneath it. For each layer below, explore the tools and read the buyer's guide. See the AWS-specific version →
Commit the steady baseline
recovers 20-40%**
Savings Plans / Reserved Instances on always-on usage; consider Graviton
Problem: You're paying full on-demand rates for capacity you run 24/7. → Do this: use the tools below, or size it with the calculator.
⚠ Before you buy: Single-Cloud Limitations: Many tools are built specifically for AWS and may not support Azure or GCP effectively.
⚠ Before you buy: Tools that only provide 'recommendations' but require your team to manually execute the changes.
🧮 Size this layer →
Move interruptible work to Spot
recovers 60-90%**
Spot / interruptible capacity for batch, training, non-prod
Problem: Batch jobs, training and dev/test run on full-price instances. → Do this: use the tools below, or size it with the calculator.
⚠ Before you buy: Single-Cloud Lock-in: Many native tools (like AWS Compute Optimizer) cannot see or manage costs on other platforms like Azure or GCP.
🧮 Size this layer →
Right-size & auto-scale
recovers 10-30%**
Match instance family/size to real utilization (Compute Optimizer)
Problem: Instances are bigger than the workload actually needs. → Do this: use the tools below, or size it with the calculator.
⚠ Before you buy: Tools designed for large enterprises may be too complex and expensive for startups or small teams.
🧮 Size this layer →
See who spends what
recovers visibility*
Showback / chargeback by team, product, and workload
Problem: Nobody can say which team or product owns the bill. → Do this: use the tools below, or size it with the calculator.
⚠ Before you buy: High entry costs for small businesses or startups with low monthly cloud spend.
🧮 Size this layer →
Catch spikes early
recovers avoids surprises*
Anomaly detection + alerts before the invoice
Problem: You find out about a spike when the invoice arrives. → Do this: use the tools below, or size it with the calculator.
🧮 Size this layer →
On the AI side of the bill
LLM observability & cost tracing
See per-feature/agent tokens, cost and quality; catch runaway loops
Problem: You can't see which agent or feature burns the tokens. → Do this: use the tools below, or size it with the calculator.
🧮 Size this layer →
Model routing / gateway
recovers 30-60%**
Route each call to the cheapest capable model through one gateway
Problem: Every call hits your most expensive model, even the easy ones. → Do this: use the tools below, or size it with the calculator.
⚠ Before you buy: Platform Lock-in: Some gateways only work if you are already using specific cloud providers like Azure or Databricks.
🧮 Size this layer →
Continuous eval & guardrails
Score a golden set each release; cap quality-failure and safety cost
Problem: Quality quietly regresses and you catch it in production. → Do this: use the tools below, or size it with the calculator.
🧮 Size this layer →
AI FinOps / budget & token tracking
Attribute AI spend, set budgets, and track tokens per team/feature
Problem: AI spend isn't attributed, budgeted, or tracked per team. → Do this: use the tools below, or size it with the calculator.
🧮 Size this layer →
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