LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM
Claude Code:
claude mcp add tokencost-dev -- npx -y tokencost-dev
Then ask: "How much would 1M input tokens cost on claude-sonnet-4-5?"
Cursor (.cursor/mcp.json):
{
"mcpServers": {
"tokencost-dev": {
"command": "npx",
"args": ["-y", "tokencost-dev"]
}
}
}
No API keys. No accounts. No configuration files. Pricing data is fetched from the LiteLLM community registry and cached locally for 24 hours.
get_model_detailsLook up pricing, context window, and capabilities for any model. Fuzzy matching means "sonnet 4.5" works just as well as "claude-sonnet-4-5-20250514".
> "What are Claude Sonnet 4.5's pricing and capabilities?"
Model: claude-sonnet-4-5
Provider: anthropic | Mode: chat
Pricing (per 1M tokens):
Input: $3.00
Output: $15.00
Context Window:
Max Input: 200K
Max Output: 8K
Capabilities: vision, function_calling, parallel_function_calling
calculate_estimateEstimate cost for a given number of input and output tokens.
> "How much will 1000 input + 500 output tokens cost on Claude Sonnet 4.5?"
Cost Estimate for claude-sonnet-4-5
Input: 1K tokens × $3.00/1M = $0.003000
Output: 500 tokens × $15.00/1M = $0.007500
─────────────────────────────
Total: $0.0105
compare_modelsFind the most cost-effective models matching your requirements.
> "What are the cheapest OpenAI chat models?"
Top 2 most cost-effective models (provider: openai) (mode: chat):
1. gpt-4o-mini
Provider: openai | Mode: chat
Input: $0.15/1M | Output: $0.60/1M
Context: 128K in / 16K out
2. gpt-4o
Provider: openai | Mode: chat
Input: $5.00/1M | Output: $15.00/1M
Context: 128K in / 16K out
refresh_pricesForce re-fetch pricing data from the LiteLLM registry (cache is refreshed automatically every 24h).
Full documentation at tokencost.dev
MIT
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y tokencost-devMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-jeff-atriumn-tokencost-dev": {
"command": "npx",
"args": [
"-y",
"tokencost-dev"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referencetokencost-devnpmio.github.jeff-atriumn/tokencost-dev works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.