tokencost
Ask your AI assistant "how much does GPT-4o cost?" — get an instant, accurate answer.
---
## Install in 30 seconds
**Claude Code:**
```bash
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`):
```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](https://github.com/BerriAI/litellm) and cached locally for 24 hours.
## Tools
### `get_model_details`
Look 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_estimate`
Estimate 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_models`
Find 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_prices`
Force re-fetch pricing data from the LiteLLM registry (cache is refreshed automatically every 24h).
## Docs
Full documentation at [tokencost.dev](https://tokencost.dev)
## License
MIT