AI Cost per User: How to Estimate LLM Costs for Your Product
The essential guide to calculating AI API cost per monthly active user. Real benchmarks for chatbots, coding assistants, and support bots — with the formulas founders actually need.
Real numbers on API pricing, inference costs, and how to optimize your AI spending without sacrificing quality.
The essential guide to calculating AI API cost per monthly active user. Real benchmarks for chatbots, coding assistants, and support bots — with the formulas founders actually need.
Side-by-side pricing breakdown for GPT-4o and Claude Sonnet 4. Real cost examples for chatbots, RAG pipelines, and AI agents — with a clear winner for each use case.
Practical techniques to reduce OpenAI and Anthropic API costs without degrading quality. Includes prompt caching, model routing, batching, and compression strategies with real numbers.
The price spread between frontier LLMs is now 100x. Here's the actual cost per million tokens for every major model, plus which model is cheapest for your specific workload.
OpenAI's Batch API offers 50% off standard pricing for async workloads. Here's how to identify which workloads qualify, implement the API, and calculate actual savings.
Vector embeddings power search, RAG pipelines, and semantic similarity. At 10M documents, embedding costs range from $50 to $5,000+ per month. Here's exactly how to calculate and optimize your spend.
Gemini 1.5 Pro has a 1M token context window and costs less than GPT-4o. Here's the full pricing breakdown, free tier limits, and where Gemini wins vs. loses.
We ran 10,000 requests across GPT-4o, Claude Sonnet, Gemini Pro and Llama 3. Here's the real cost-per-task data, not just per-token theory.
Gemini 2.0 Flash offers 1,500 requests/day free. ChatGPT free gives limited GPT-4o. Claude free gives Sonnet with daily limits. Here's the complete free tier breakdown.
Claude Opus, Sonnet, Haiku — complete pricing breakdown with real cost examples. Plus the extended context caching discount most devs miss.
Most teams overpay for AI APIs by 3-5x. These seven techniques — used by teams at scale — will cut your bill without touching quality.
Most companies wildly underestimate their AI API bills. Here's the math behind what ChatGPT actually costs at scale — and how to cut it in half.
All three AI subscriptions cost $20/month — but the value gap between them is enormous. Here's a data-driven breakdown of what you actually get for your money.
GPT-4o, GPT-4o mini, o1, o3 — pricing changes every quarter. Here's every current price, what determines your bill, and how to cut costs by 60%.
Most teams overpay for AI by 2-5x. Prompt compression, intelligent routing, response caching, and smart batching reduce costs without sacrificing output quality.
AI content isn't free — there's the tool cost, the editing cost, the strategy cost, and the SEO risk cost. Here's what 100 articles actually costs with AI.
You chose the cheapest model. You optimized your prompts. Your bill is still 4x what you expected. Here's why — and the three traps that catch everyone.
The cheapest way to generate 10,000 images isn't Stable Diffusion — it depends entirely on resolution and volume. Real pricing data inside.