Calculator Tools

AI Model Comparison Calculator

Compare what different models would cost for your actual workload. List each model with its input and output price per million tokens and its context window, then enter the tokens per request and requests per month. The calculator ranks the models by monthly cost, shows the cost per request and how many times more each costs than the cheapest, and flags models whose context window is too small.

  • Runs in your browser
  • No sign-up
  • Free to use

Replace the examples with the models and current prices you are considering.

How to use AI Model Comparison Calculator

  1. List models: name | input price | output price | context.
  2. Enter tokens per request.
  3. Enter requests per month.
  4. Read the ranking.

AI Model Comparison Calculator features

Same workload

Fair comparison.

Context check

Too-small windows flagged.

Cost ratio

Versus the cheapest.

Your prices

No built-in prices that go out of date.

Paste from spreadsheets

Tab or | separated lines.

Any currency

Choose from 30+ currencies; amounts are formatted for it.

When to use AI Model Comparison Calculator

  • Choosing a model for a feature.
  • Explaining costs to stakeholders.
  • Re-checking after price changes.
  • Routing between small and large models.

AI Model Comparison Calculator FAQ

Why example model names?

Prices change often; the examples are placeholders for you to replace with current names and prices.

Is the cheapest model the best choice?

Only if it is good enough. Test quality on your own tasks.

What about speed?

Latency and rate limits also matter; check them separately.

Can I combine models?

Many apps route simple requests to small models and hard ones to large models.

Why can a cheaper input price still cost more?

If your requests produce long outputs, the output price dominates. A model with cheap input but expensive output can cost more overall.

Cost is one dimension

Price differences between models can be tenfold or more for the same workload. Comparing on your real token counts avoids decisions based on headline prices.

Combine this with quality tests: a model that needs fewer retries can be cheaper overall.

Comparing models by price per million tokens can mislead, because workloads differ. The calculator applies each model’s input and output prices to your actual tokens per request and request volume, so you see the cost per request and per month side by side.

The context window column shows whether your largest requests fit at all. Cost is only one factor – quality, speed and reliability matter too. Enter current prices from each provider; they change often.

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