Tokencost

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tokencost is an open-source Coding & Development tool that provides easy token price estimates for over 400 LLMs. It helps developers calculate the USD cost of using Large Language Model APIs for prompts and completions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is tokencost?

tokencost is an open-source Python library designed to provide easy token price estimates for over 400 Large Language Models (LLMs). It helps developers accurately calculate the USD cost of using major LLM APIs by estimating the cost of both prompts and completions. The tool tracks the latest price changes from LLM providers and offers token counting functionality using Tiktoken for OpenAI models and Anthropic's beta API for newer Claude models. It integrates seamlessly into AI agent development workflows, allowing for cost calculation with a single function call, making it an essential tool for budget management and cost optimization in AI applications.

Best used for

Ideal for product managers and startup founders who need to accurately estimate the cost of LLM API calls, track pricing changes across various models, and optimize spending for AI agents. Especially valuable for developers building AI applications and needing precise token counting and cost calculations.

Common actions

estimate LLM costs

count tokens

track model prices

optimize AI spending

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Capabilities

Key features

LLM price tracking
Accurate token counting
Prompt cost calculation
Completion cost calculation
Easy integration

Target Audience

product managerstartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Which LLMs does tokencost support for price estimation?

tokencost supports over 400 Large Language Models, including a wide range of OpenAI, Azure, Mistral, Groq, Cerebras, FriendliAI, Anthropic, and Google models. The tool continuously tracks and updates pricing for these various providers to ensure accuracy.

How does tokencost ensure accurate token counting for different models?

For OpenAI models, tokencost uses Tiktoken, OpenAI's official tokenizer. For Anthropic models above version 3 (e.g., Sonnet 3.5, Haiku 3.5, Opus 3), it leverages the Anthropic beta token counting API. Older Claude models are approximated using Tiktoken with the cl100k_base encoding.

Can tokencost estimate costs for both prompt and completion tokens?

Yes, tokencost provides functions to calculate the estimated USD cost for both prompt tokens and completion tokens separately. This allows developers to get a detailed breakdown of expenses for their LLM API interactions.

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Subcategories trending in Coding & Development

Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Finance › Budgeting & Forecasting Productivity & Business › Strategy & Planning

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