@pydantic/genai-prices

@pydantic/genai-prices

JavaScript package and command-line tool for calculating LLM API prices.

Basic usage

calcPrice

The package exports a function for price calculation that, by default, uses the bundled price data.

import { calcPrice } from '@pydantic/genai-prices'

const usage = { input_tokens: 1000, output_tokens: 100 }

const result = calcPrice(usage, 'gpt-3.5-turbo', { providerId: 'openai' })

if (result) {
  console.log(
    `$${result.total_price} (input: $${result.input_price}, output: $${result.output_price})`,
    result.provider.name,
    result.model.name
  )
} else {
  console.log('No price found for this model/provider combination')
}

updatePrices

You can optionally use updatePrices to implement logic that can periodically update the data used by calcPrice. See the src/examples/browser directory for an example that implements a local storage-backed auto-update and src/examples/node-script.ts for an example of a file-based asynchronous auto-update implementation.

calcPrice is a synchronous function that uses the currently available data - either the bundled one, or the last data fetched from the updatePrices setup. To force calcPrice to await potential in-progress data updates that can happen in enableAutoUpdate, await the waitForUpdate() return value before calling calcPrice

import { calcPrice, updatePrices } from '@pydantic/genai-prices'

enableAutoUpdate(/** auto-update logic */)

// ...

// this guarantees that the latest data is used
await waitForUpdate()
const result = calcPrice(usage, 'gpt-5', { providerId: 'openai' })

console.log(
  `$${result.total_price} (input: $${result.input_price}, output: $${result.output_price})`,
  result.provider.name,
  result.model.name
)

Provider Matching

The library uses intelligent provider matching:

• Explicit provider: Use providerId parameter or provider:model format
• Model-based matching: Uses the provider's model_match logic (e.g., OpenAI matches models starting with "gpt-")
• Fallback: Tries to match based on model name patterns

Best practices:

• Always specify providerId if you know it (e.g., openai, google, etc.) for best results
• Use provider:model format in CLI for explicit provider selection
• The async API with --auto-update provides the most up-to-date pricing

Error Handling

When a model or provider is not found, the library returns null. This makes it easier to handle cases where pricing information might not be available.

import { calcPrice } from '@pydantic/genai-prices'

const usage = { input_tokens: 1000, output_tokens: 100 }

// Returns null if model/provider not found
const result = calcPrice(usage, 'non-existent-model')
if (result === null) {
  console.log('No pricing information available for this model')
} else {
  console.log(`Total Price: $${result.total_price} (input: $${result.input_price}, output: $${result.output_price})`)
}

// Async version also returns null
const asyncResult = await calcPrice(usage, 'non-existent-model', { awaitAutoUpdate: true, providerId: 'unknown-provider' })
if (asyncResult === null) {
  console.log('No pricing information available for this model/provider combination')
} else {
  console.log(`Total Price: $${asyncResult.total_price} (input: $${asyncResult.input_price}, output: $${asyncResult.output_price})`)
}

Troubleshooting

Common Issues

• No price found (returns null):
  • Make sure you specify the correct providerId (e.g., openai, google, anthropic)
  • Try using provider:model format in CLI
  • Use --auto-update flag to fetch latest data
  • Check that the model name is correct and supported by the provider

CLI

The easiest way to run the latest version of the package as a CLI tool is through npx:

npx @pydantic/genai-prices@latest

For example:

npx @pydantic/genai-prices@latest calc gpt-4 --input-tokens 1000 --output-tokens 500
npx @pydantic/genai-prices@latest list

You can also install it globally and then use the genai-prices command:

npm i -g @pydantic/genai-prices

# Basic usage
genai-prices gpt-5 --input-tokens 1000 --output-tokens 100

# Specify provider explicitly
genai-prices openai:gpt-5 --input-tokens 1000 --output-tokens 100

# List available providers and models
genai-prices list
genai-prices list openai