Compare models
See input, output, cached input, and context pricing across providers.
AI API Cost Planner
Estimate monthly AI costs, compare LLM models, calculate cost per user, and avoid surprise API bills using provider pricing data.
Planning coverage
4 providers
Compare provider/model pricing, plan SaaS usage, and open model-specific calculators from one cost-planning workflow.
Focus
Monthly cost
Audience
SaaS teams
Data
Model pricing
Monthly planner
Start with active users, requests per user, token usage, cache assumptions, and optional revenue per user.
Estimate AI cost per user, monthly API spend, yearly spend, and margin impact from your SaaS usage assumptions.
Choose the AI model pricing that powers this SaaS feature.
Use a 30-day month. Leave revenue empty if you only want cost estimates.
Estimates are based on current model pricing, user-provided usage assumptions, and a 30-day month. Actual costs may vary by provider billing rules, caching behavior, retries, and usage patterns.
Review monthly cost, yearly cost, unit cost, and margin impact.
Estimated monthly AI cost
$450.00
Estimated yearly AI cost
$5,400.00
Cost per user
$0.45
Cost breakdown
Share this estimate
Copy a URL with only safe slugs and numeric assumptions.
Add revenue per user per month to estimate gross margin for this SaaS scenario.
Sort and filter provider model prices.
Open provider-specific calculators.
Jump to featured model pages.
Plan monthly cost and margin.
Estimate chatbot request usage.
Run a general LLM cost estimate.
Why plan here
Use the planner to connect model pricing to product usage, customer cost, and launch decisions.
See input, output, cached input, and context pricing across providers.
Plan AI API spend from users, requests, and token usage.
Understand cost per request, per user, and per month before launch.
Compare API cost against revenue assumptions for SaaS products.
Providers
Open a provider page to calculate with that provider preselected and compare its models.
2 models
OpenAI API models for chat, automation, content generation, and product AI features.
2 models
Anthropic Claude API models for assistants, document workflows, and AI product features.
2 models
Google Gemini API models for chat, multimodal workflows, automation, and SaaS features.
2 models
Mistral API models for text generation, assistants, automation, and cost planning scenarios.
Models
Open a model page to calculate with the provider and model already selected.
OpenAI
Input $1.00 / 1M, output $4.00 / 1M.
Open modelOpenAI
Input $3.00 / 1M, output $12.00 / 1M.
Open modelAnthropic
Input $2.00 / 1M, output $8.00 / 1M.
Open modelAnthropic
Input $4.00 / 1M, output $16.00 / 1M.
Open modelGemini
Input $0.50 / 1M, output $2.00 / 1M.
Open modelGemini
Input $2.00 / 1M, output $8.00 / 1M.
Open modelUse-case calculators
Use focused calculator pages when you already know the product scenario.
Estimate product chat and assistant usage from users, messages, and tokens.
Plan retrieval-heavy app costs from query volume, context, and answer length.
Estimate multi-step agent cost from tasks, tool calls, and token usage.
Forecast OpenAI usage inside n8n workflow runs and AI steps.
Model support automation costs from tickets, replies, and token usage.
Estimate SaaS AI feature cost per user and margin impact.
Next steps
Compare prices first, pick a provider, or jump straight into monthly SaaS planning.
Compare input and output token prices before picking a model.
Review provider pages with preselected calculators and model tables.
Model users, requests, tokens, revenue, and gross margin.
Use a focused calculator for general LLM usage assumptions.