AI agents · How Founders Use AI
How much does it cost to run AI features, and how do I keep costs sane?
You pay per token (roughly per word) in and out, so cost scales with usage; a small feature can run on tens of dollars a month while a chat-heavy product can eat a large share of revenue. Tiers span a hundredfold: GPT-6 Astra and Claude Fable 5.1 list at $10 in and $50 out per million tokens, GPT-6 Luna and Claude Haiku 5.5 at $0.10 and $0.50. Prompt caching, routing easy requests to cheap models and batching non-urgent work at half price often cut bills by more than half. Track cost per user per feature from day one so pricing follows data, not fear.
On the AI map, 29 October 2026 Frontier modelsOpen-weight modelsDecision models
Go deeper22 sources
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API pricing (OpenAI docs)
OpenAI · Tool · Oct 2026
Current per-token prices for every GPT-6 tier, with cached input and batch rates side by side.
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Introducing Claude Haiku 5.5
Anthropic · Article · Oct 2026
Anthropic's cheap, fast tier for classification and routing, about 75% cheaper to run than Haiku 4.5, plus a cut to cache-read prices.
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Introducing GPT-6.1 Sol
OpenAI · Article · Sep 2026
OpenAI says it nearly matches GPT-6 Astra at a fifth of the price, with cached input at $0.10 per million tokens.
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Welcome to LLMflation: LLM inference cost is going down fast
Guido Appenzeller (a16z) · Article · Nov 2024
The definitive chart: equivalent-quality inference gets 10x cheaper per year, which changes what you can afford to build.
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a16z on LLMflation (thread)
a16z · Thread · Nov 2024
The five-minute version of the cost-decline argument, useful for convincing a worried co-founder.
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Prompt caching (Claude docs)
Anthropic · Guide · 2025
Cached reads cost 10% of normal input price; the single highest-leverage cost lever, from the primary source.
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Batch API (OpenAI docs)
OpenAI · Guide · 2025
A flat 50% discount for anything that can wait up to 24 hours, like digests, enrichment, and backfills.
All 22 sources
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The State of AI Gross Margins in 2025
Tanay Jaipuria (Wing VC) · Article · 2025
Grounded numbers on what AI COGS actually look like across real startups, not vibes.
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Exclusive Data: Startups Are Learning What AI Profits Look Like
Upstarts Media · Article · 2025
Fresh survey data showing margins improving from 41% to 45% and what the improvers did differently.
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LLM Cost Optimization: 5 Levers to Cut API Spend 70-85%
Morph · Article · 2025
Routing, compaction, prompt trims, caching, batching: each lever quantified so you know what to do first.
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LLM Token Optimization: Cut Costs and Latency
Redis · Article · 2025
Engineering-level detail on token budgets and semantic caching from an infra company that measures it.
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8 LLM Cost Optimization Techniques, Visually Explained
Divy Yadav (Towards AI) · Article · Apr 2026
Diagram-first explanations your whole team can absorb in ten minutes.
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Top 5 LLM Gateways in 2025
Helicone · Article · 2025
A gateway gives you routing, fallbacks, and spend visibility in one move; this compares the options.
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Helicone cost tracking cookbook
Helicone · Tool · 2025
Practical recipes for attributing AI spend per user and per feature, which is how you find the leaks.
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LLM API Providers Leaderboard
Artificial Analysis · Tool · 2026
Live price, speed, and latency comparison across 500+ endpoints; check before you commit spend.
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LLM API Pricing Comparison (2025): OpenAI, Gemini, Claude
IntuitionLabs · Article · 2025
A sober side-by-side of per-token prices across the big three, including budget tiers.
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Prompt Caching is a Must: From $720 to $72 Monthly
Du'An Lightfoot · Article · 2025
A builder's receipts: one technique, a 90% real bill reduction, with the code that did it.
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The Unit Economics of AI Agents: Budgeting LLM Costs with Real Numbers
Nikhil Sood · Article · 2025
Actual production numbers for agent workloads, the costliest and least predictable AI feature type.
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Inference Unit Economics: The True Cost Per Million Tokens
Introl · Article · 2025
Explains why output tokens cost more than input and how billing categories really work.
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X-raying OpenAI's unit economics
Azeem Azhar (Exponential View) · Article · 2025
Understand your supplier's economics to predict where API prices go next.
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Inside the AI Arms Race: LLMs, Economics, and Strategy
CXOTalk with Nate B. Jones · Podcast · 2025
A strategic view of vendor pricing games and how buyers should respond.
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Simon Willison: Things we learned about LLMs in 2024 (Latent Space)
Latent Space with Simon Willison · Podcast · Jan 2025
Willison narrates the price collapse and capability gains in one listenable year-in-review.