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Make a more informed AI cost and tool decision.

Start with the question you need to answer, then move from source-tracked facts to an editable cost estimate and a focused comparison.

Featured API cost guide

How to estimate monthly LLM API cost

Use a transparent formula, three source-tracked workload examples, and a practical checklist for caching, retries, output length, and provider-specific charges.

Read the cost guide
Start with the task

What are you trying to work out?

These paths keep token math, provider pricing, and product-fit guidance separate until they need to come together.

Prompt planning

How many tokens will this prompt use?

Count OpenAI tokens, compare planning estimates, and use the result in an API cost calculation.

Count tokens Budget planning

What could this workload cost each month?

Enter tokens, request volume, caching assumptions, and model prices to estimate monthly spend.

Estimate API cost Routing decision

Which two models should we test?

Compare source-tracked prices and limits, then adjust a representative workload without assuming equal quality.

Compare models Workflow decision

Which coding-agent workflow may fit?

Review execution surfaces, provider access, permissions, and rollout questions using neutral comparison guides.

Compare coding agents Switching decision

What should we evaluate before replacing a tool?

Find options by cost, workflow, provider choice, and team-control requirements rather than a universal ranking.

Explore alternatives Source verification

Where did the tracked price come from?

Open provider and product pricing pages with checked dates, official sources, caveats, and calculators.

Check pricing
Current decision library

Open a focused guide or calculator

These are selected starting points. Each collection page contains the full set for its topic.

How to use StackLens guidance: Pricing and product facts are tracked from official sources. Cost results depend on the assumptions entered. Qualitative notes are StackLens decision guidance and should be tested against your own workload or repository.