Compare LLM API pricing from your terminal.
Supports 300+ models across all major providers.

Why

LLM pricing changes constantly. Comparing costs means opening multiple browser tabs, hunting through docs, and doing mental math. model-cost gives you instant answers in the terminal:

npx model-cost compare claude-opus-4-6 gpt-4o deepseek-chat

Install

npx model-cost

Or install globally:

npm install -g model-cost

Usage

# List models sorted by price (cheapest first)
model-cost

# Search by name
model-cost claude

# Filter by provider
model-cost --provider anthropic

# Compare models side by side
model-cost compare claude-sonnet-4-6 gpt-4o deepseek-chat

# Calculate cost for token usage
model-cost calc claude-opus-4-6 --input 1M --output 100K

# List all available providers
model-cost providers

# Sort by output cost
model-cost --sort output

# Show all models (no limit)
model-cost --all

# JSON output for scripting
model-cost --json

Output

  model-cost v0.0.1

  Provider          Model                        Input/1M   Output/1M   Context
  -----------------------------------------------------------------------------
  deepseek          deepseek-chat                   $0.28       $0.42    131.1K
  anthropic         claude-haiku-4-5                $1.00       $5.00      200K
  openai            gpt-4o-mini                     $0.15       $0.60      128K
  anthropic         claude-sonnet-4-6               $3.00      $15.00      200K
  openai            gpt-4o                          $2.50      $10.00      128K
  anthropic         claude-opus-4-6                 $5.00      $25.00        1M

Comparing Models

model-cost compare claude-sonnet-4-6 gpt-4o

                    claude-sonnet-4-6       gpt-4o
  --------------------------------------------------
  Provider          anthropic               openai
  Input / 1M        $3.00                   $2.50
  Output / 1M       $15.00                  $10.00
  Max Input         200K                    128K
  Max Output        64K                     16.4K

Calculating Costs

Token counts support K (thousands), M (millions), and B (billions):

model-cost calc claude-sonnet-4-6 --input 1M --output 100K

  claude-sonnet-4-6

  Input       1,000,000 tokens      $3.00
  Output      100,000 tokens        $1.50
  ------------------------------------------
  Total                             $4.50

Fuzzy Matching

Mistype a model name? model-cost suggests the closest matches:

model-cost compare clawde

  ✖ Model "clawde" not found.

  Did you mean:
    - claude-opus-4-6 (anthropic)
    - claude-sonnet-4-6 (anthropic)
    - claude-haiku-4-5 (anthropic)

Options

Flag	Description
-p, --provider <name>	Filter by provider
-s, --sort <field>	Sort by: input, output, name, provider
-n, --limit <count>	Number of models to show (default: 20)
-a, --all	Show all models (no limit)
-u, --update	Force refresh pricing data
-j, --json	Output as JSON
-v, --version	Show version
-h, --help	Show help

Programmatic API

import { loadPrices, parseModels, calculateCost, findModel } from 'model-cost';

// Load pricing data
const { data } = await loadPrices();
const models = parseModels({ data });

// Find a model (with fuzzy matching)
const result = findModel({ models, query: 'claude-sonnet-4-6' });

// Calculate cost
if (result.model) {
  const estimate = calculateCost({
    model: result.model,
    inputTokens: 1_000_000,
    outputTokens: 100_000,
  });
  console.log(estimate.totalCost); // 4.5
}

How It Works

1. Fetches pricing data from LiteLLM's model pricing database
2. Caches locally in ~/.model-cost/ (refreshes every 24 hours)
3. Parses and displays chat/completion models with input/output pricing

Credits

Pricing data from LiteLLM -- the open source LLM gateway.

License

MIT

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Built with commandcode by @saqibameen