Insights on Claude Code token burn rates, subscription plan management, and getting the most value from your AI coding workflow.
Per-million-token pricing is the only sane way to compare LLMs. Here’s the math, the traps, and how to track your real spend.
Read more →Set a realistic monthly budget for Claude Code, Copilot, and APIs using token math, usage patterns, and a simple tracking loop.
Read more →Recent AI model pricing swung hard, with several DeepSeek and GLM variants rising fast while Claude Haiku and GPT-OSS dropped sharply.
Read more →A practical way to pick the cheapest coding model is to compare blended token cost, not just headline prices. Here’s the math.
Read more →Prompt caching can slash repeat-input spend, but only if you know where your tokens are actually going. Here’s the math.
Read more →See how real AI spend breaks down across models, and how to track it without guessing from invoices or dashboards.
Read more →DeepSeek, Kimi, GLM, and Llama saw sharp blended price jumps, while DeepSeek v4.1 Flash and GPT-OSS 120B batch got much cheaper.
Read more →Compare LLMs by tokens per dollar, not vibes. See real math, a compact table, and how to track spend across models and tools.
Read more →Input tokens usually look cheap until your outputs, retries, and long contexts stack up. Here’s the math developers should actually watch.
Read more →The lowest public blended prices are concentrated in embedding and smaller coder models, with several options at $0.015/Mtok blended.
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