How to track token usage in a multi-agent system
Track token usage across multiple coding agents with local logs, per-model costs, and a simple workflow that never sends prompts off machine.
Read more →Insights on Claude Code token burn rates, subscription plan management, and getting the most value from your AI coding workflow.
Track token usage across multiple coding agents with local logs, per-model costs, and a simple workflow that never sends prompts off machine.
Read more →The lowest public blended prices are clustered under $0.015 per 1M tokens, with several models tied at $0.008 and $0.015.
Read more →Track real AI spend across Claude, GPT, and Gemini, with token math, model comparisons, and a practical setup that doesn’t leak code.
Read more →Gemini thoughts tokens bill at output rates, so “thinking” can be expensive. Here’s how to estimate the real cost before it surprises you.
Read more →A practical way to budget AI features before launch, with token math, model comparisons, and a simple tracking workflow.
Read more →The lowest blended token prices are clustered under $0.015 per 1M tokens, with the cheapest public option at $0.001/Mtok blended.
Read more →A developer-first look at what GPT, Claude, and Gemini actually cost per 1M tokens, with real math and a tracking workflow.
Read more →Reasoning tokens can cost more than output tokens because they’re often billed at the output rate. Here’s the math and how to track it.
Read more →Community data shows $9844.11 spent over 115 days for 194,722,046,557 tokens, about 19,780,570 tokens per dollar with cached reads included.
Read more →The AI Cost Index compresses messy model pricing into one blended number, so you can compare frontier and budget LLM spend fast.
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