Claude vs GPT-4 vs Gemini: Cheapest Model for Long Context (2026)
Long context windows are expensive. Which model is cheapest for 100k+ token inputs? Comparison of OpenAI, Anthropic, and Google pricing for long-context workloads.
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Practical guides on AI cost attribution, unit economics, and reducing your OpenAI and Anthropic API spend.
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How to Track OpenAI API Costs by Customer (And Why Your Current Setup Won't Tell You)
Your OpenAI dashboard shows total spend — not who's driving it. Here's what actually works for getting cost attribution by customer, what approaches waste your engineering time, and why most teams find out too late.
ReadAI Unit Economics: The Numbers Your Investors Will Ask About (That Most Founders Can't Answer)
Total AI spend isn't the metric that matters. Here's what AI unit economics actually looks like — cost per customer, margin by pricing tier, and why the blended average is hiding your real problem.
ReadHow to Price AI Features in Your SaaS Product (We Got It Wrong Twice Before Getting It Right)
Most teams price AI features before they know what those features cost to deliver. Here's the two mistakes we made, how we found out, and what data you actually need to price AI correctly.
ReadStripe + AI Costs: How to Connect Revenue to Your AI Spend
You have Stripe for revenue and OpenAI for costs. But which customers are profitable? Here's how to connect AI spend to Stripe revenue and see real margins.
ReadAI Cost by Feature: Why Your Chatbot Might Be Eating Your Margins
One feature can drive most of your AI spend. How to find it, why chatbots are often the culprit, and what to do about it.
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OpenAI vs Anthropic vs Google: Which Is Cheapest for Your Use Case?
There's no single cheapest provider — it depends on your input/output mix and model choice. How to compare and when each provider wins.
Read articlePrompt Caching: How Much Does It Actually Save?
OpenAI and Anthropic offer prompt caching to reduce repeated input costs. When does it help, and how much can you save?
Read articleBatch API: When the 50% Discount Is Worth It
OpenAI's Batch API offers 50% off for async workloads. When does the discount justify the turnaround time and complexity?
Read articleWhen to Switch from GPT-4 to GPT-4o Mini (Cost vs Quality)
GPT-4o mini is 10–20x cheaper than GPT-4. When does the quality trade-off make sense? Use cases where the switch is a no-brainer — and where it isn't.
Read articleAI Cost Benchmarking: What's Normal for Your Stage?
Is your AI spend as a percentage of revenue too high? Rough benchmarks for early-stage, growth, and scale-up — and when to worry.
Read articleAI Cost Attribution Without a Data Team
You don't have a data engineer. You still need to know which customers cost the most. Here's how to get AI cost attribution without building pipelines.
Read articleHow to Track Anthropic Claude Costs by Customer (Same Problem, Different Dashboard)
The Anthropic Console shows total spend — not who's driving it. Here's how to get Claude API cost attribution by customer, and why the same approaches that fail for OpenAI fail for Anthropic too.
Read articleHow to Track Google Gemini Costs by Customer (Vertex AI and AI Studio)
Google's AI Studio and Vertex AI show aggregate usage — not cost per customer. Here's how to get Gemini API cost attribution by customer for product and pricing decisions.
Read articleAI Cost Per Customer: The Question Our Board Asked (And We Couldn't Answer)
AI cost per customer and unit economics for SaaS. Why total AI spend isn't enough — and how to get cost attribution for pricing and board conversations.
Read articleAre Your Free Users Costing You Money? Ours Cost $8k/Month
Free tier users consuming most of your AI spend? How to measure free user AI costs, why it happens, and what we did to cut ours by 80%.
Read articleGPT-4o vs GPT-4.1: Pricing, Performance, and When to Use Each (March 2026)
GPT-4o costs $2.50/1M input tokens. GPT-4.1 costs $2.00/1M — 20% cheaper. Here's when the difference matters, what it adds up to at scale, and how to decide which to use.
Read articleHow to Reduce OpenAI API Costs: We Cut Our Bill by 40%
Reduce OpenAI API costs with model routing, prompt caching, and cost attribution. Our AI spend hit $12k/month — here's what actually worked to cut it by 40%.
Read articleOpenAI o3 API Pricing: What Reasoning Models Actually Cost in Practice (2026)
o3 lists at $2.00/1M input and $8.00/1M output — same as GPT-4.1. But reasoning models generate hidden thinking tokens that inflate real costs by 2–5×. Here's what o3 actually costs and when it's worth it.
Read articleGPT-4o Mini Pricing Guide (March 2026): The Cheapest OpenAI Model Worth Using
GPT-4o mini costs $0.15/1M input and $0.60/1M output — 16× cheaper than GPT-4o. Here's what it's good at, how it compares to Claude Haiku and Gemini Flash, and when it saves you real money.
Read articleYour AI Gross Margin Is Probably Lower Than You Think. Here's How to Actually Calculate It.
Most SaaS founders calculate AI gross margin by blending total revenue with total AI cost — and get a number that hides where the real problems are. Here's the right way to do it, and what we found when we did.
Read articleGemini 2.5 Pro vs GPT-4o vs Claude Sonnet 4.6: API Pricing Comparison (March 2026)
Gemini 2.5 Pro costs $1.25/1M input. GPT-4o costs $2.50/1M. Claude Sonnet 4.6 costs $3.00/1M. Here's how the three leading AI providers compare on price, context window, and when to use each.
Read articleOpenAI Cost Attribution: 3 Approaches We Tried (and What the Trade-offs Actually Are)
When our OpenAI bill crossed $11k/month, we needed to know where it was going. We tried three different approaches. Here's what each one takes, what each one costs in engineering time, and what we'd do differently.
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