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LLM cost, explained
Practical guides on attribution, model tiering, prompt engineering, and building AI products that don't drain your runway.
Prompt caching cost savings: what the pricing pages don't tell you
Prompt caching can cut your LLM input costs by 90%. But real-world savings depend entirely on your workload pattern. Here is how to estimate your actual hit rate before you commit.
"How to Safely Swap a Production LLM for a Cheaper Model"
"Lindy just ditched Claude entirely for DeepSeek. Before you do the same, here is how to verify a cheaper model is good enough for your workload without breaking production."
"The hidden cost of thinking tokens: why your reasoning model bill is 10x what you expect"
"Reasoning models bill invisible thinking tokens at output rates. Here is how to spot the drain and route tasks correctly."
The AI price war is here — why cheaper tokens won't fix your bill
"DeepSeek V4 Flash costs $0.14 per million input tokens, Claude Opus 4.7 costs $5. A 36x gap sounds like savings, but the trap is agentic systems consume 10-100x more tokens per task than traditional chat. The real lever is cost-per-task routing."
What Claude Codes New Pool 2 Billing Means for Agent-Heavy Teams
Anthropic split Claude Code billing on June 15. Subagents, headless commands, and CI automation now draw from a separate credit pool at standard API rates. Here is what changed and how to keep your bills under control.
"The AI Subsidy Is Ending: What Your LLMs Actually Cost"
"Every major AI provider is moving toward usage-based billing. The 10-40x gap between subscription and API pricing is closing. Here is what to measure first."
"Model Cascading: How Production Teams Cut Inference Costs by 40-60%"
"The price spread between cheap and expensive models is now 178x. Model cascading is the single biggest cost lever for production LLM deployments. Here is how to implement it without degrading quality."
How to Reduce Your Anthropic Bill
Four Anthropic-specific techniques for cutting your Claude API bill: caching markers, eval-gated model downgrades, the Batch API, and agent discipline.
Free Open-Source LLM Cost Analysis - Try Cost Skills
Use free open-source Claude Agent Skills to analyze your LLM traffic, break down costs by model and route, and discover optimization opportunities without signing up.
Why AI startups burn 30% of their seed round on inference without knowing it
Early-stage AI startups burn through seed capital on inference without knowing which features cost the most. Here is how to track it before it is too late.
LLM Cost Optimization: A Practical Guide for Production Teams
Your LLM bill is growing and you don't know why. Here's how to attribute every euro to a feature, pick the right model tier, and cut costs without sacrificing quality.