Stop guessing and start controlling your Large Language Model API spend with the essential menu bar utility for OpenAI, Anthropic, DeepSeek, and Azure models.
The ultimate AI token cost calculator for macOS. Calculate LLM API costs instantly from your menu bar with support for all major providers including GPT-4o, Claude 3.7 Sonnet, DeepSeek, and Azure OpenAI deployments.
Perfect for developers, AI engineers, data scientists, product managers, and anyone working with AI APIs who needs quick, accurate cost estimates for their projects.
AI Cost Bar puts powerful LLM cost estimation tools right where you need them, saving you time and money on OpenAI, Anthropic, and Azure API costs.
Get immediate API cost estimates directly from your menu bar. No more hunting through OpenAI or Anthropic pricing pages or building complex spreadsheets.
Compare costs across popular LLM providers including GPT-4o, Claude 3.7 Sonnet, GPT-4 Turbo, Claude 3 Opus, DeepSeek-V3, and all Azure OpenAI deployments.
Add your own custom pricing models for precise calculations tailored to your enterprise contracts, regional pricing, or specific use cases.
Quickly estimate costs for prototypes, new features, or A/B testing different language models based on input/output token counts.
LLM cost calculation is always just a click away in your macOS menu bar, minimizing disruption to your development or product workflow.
Pricing data automatically syncs from our servers to stay current with the latest OpenAI, Azure, and Anthropic pricing changes.
AI Cost Bar supports a wide range of models from leading providers.
See how professionals are using AI Cost Bar to optimize their LLM usage.
An AI Engineer is testing a new RAG pipeline and experimenting with different chunking strategies, which impacts token counts. They use AI Cost Bar to quickly compare the cost implications of using GPT-4 Turbo vs. Claude 3 Sonnet for the generation step based on sample inputs, helping them choose the most cost-effective model for the required quality during the development cycle.
A Product Manager is proposing a new AI-driven summarization feature for their application. During a roadmap planning session, they use AI Cost Bar to instantly estimate the projected monthly API costs based on expected user interactions and average document lengths. This provides immediate data to justify the budget request and discuss cost-performance trade-offs with stakeholders.
A consultant building an AI solution for a client needs to provide a cost estimate. They use AI Cost Bar, potentially with custom pricing entered for the client's preferred provider (or their own negotiated rates), to quickly calculate the estimated API spend for different usage tiers, allowing them to provide a more accurate and transparent quote.
Take control of your OpenAI, Claude, and Azure AI costs today for just $2.99!
Need a quick LLM cost calculation? Try our free web calculator