Cost-first thinking for AI pricing.
Pricing frameworks, LLM economics, product updates, and founder playbooks from the team building the AI cost calculator.
Distillation Just Got 15x Cheaper. Here Is What That Does to Your AI Cost Model
A new memory-efficient training method cut peak VRAM in knowledge distillation from 85.2 GiB to 5.45 GiB at 32K context, which moves the volume at which running your own small model beats paying per token.
Pricing StrategyChatGPT Business Premium Seats: 5x the Price for 5x the Usage, and Why That Is Unusual
OpenAI priced its new Premium seat at $125 per user per month against $25 for Standard, exactly 5x for exactly 5x the usage, which is rarer in SaaS pricing than it sounds.
Pricing StrategyHow to Price AI Products: Founder-Owned Pricing, Surprise Bills, and Inference Margins
The short answer from operators at Aiven and Stripe: a founder should own pricing personally, treat it as an iterative computation rather than a one-time decision, and only pass inference through at cost when inference is not the value you sell.
LLM EconomicsDeepSeek's API Price Hike: Why Cheap Tokens Were Never a Strategy
DeepSeek announced on August 6, 2026 that it will raise API prices by a relatively large margin, and the smartest response for AI builders is to model their exposure now, before the number lands.
LLM EconomicsLLM API Pricing Comparison 2026: GPT, Claude, Gemini and DeepSeek by Blended Cost Per Million Tokens
The cheapest LLM API in August 2026 is DeepSeek V4-Flash at $0.14/M input and $0.28/M output, but the number that decides your gross margin is the blended rate for your own input:output mix, not any provider's headline input price.
LLM EconomicsOpen-Weight vs Frontier LLMs: How to Model the Real Cost Difference
Open-weight models are close enough to frontier quality that the switch is now a pricing decision, but the per-token sticker price hides the serving, safety and compliance work the API price was quietly covering.
LLM EconomicsInference Engineering Is a Gross Margin Lever, Not an Infra Detail
Inference engineering is the discipline of turning model weights into a fast, affordable production API, and the throughput gains it produces land in someone's gross margin: yours if you serve the model, your provider's if you buy tokens.
Open-Weight Models and Your LLM Cost Per Token: What DeepSeek V4 Flash Actually Changes
An open-weight model landing within a few points of the frontier does not automatically cut your AI bill: your real cost per token is set by how many tokens you consume, how fast you can serve them, and whether you own the hardware at all.
Founder GuidesIdle GPUs Are the Most Expensive Line in Your AI Budget
An owned GPU bills you by the calendar hour but only earns by the compute hour, so the utilisation number you assume in your build-versus-buy spreadsheet quietly decides whether the whole decision was right.
LLM EconomicsLLM Prices Fell 13x in Four Months: What That Actually Does to Your AI Margins
Frontier-level intelligence now costs roughly one-thirteenth what it did four months ago, but a 13x cut in list price only becomes a 13x cut in your COGS if you re-route workloads and hold token consumption flat.
Flat AI Pricing Is a Subsidy: One User Burned $30,983 of Tokens on a $200 Plan
Flat AI subscriptions only work while heavy users stay rare: one developer consuming roughly $30,983 of token value on a $200 per month plan is about a 155x gap between what was paid and what it cost to serve.
LLM EconomicsOpenAI's GPT-5.6 Price Cut: What Luna at $0.20 and Terra at $2 Do to Your Margins
Starting July 30, 2026, GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens (an 80% cut), and Terra costs $2 and $12 (a 20% cut), which means the biggest saving for most teams comes from re-routing workloads rather than from the discount itself.
LLM EconomicsCheaper Tokens Do Not Equal Better Margins: What GPT-5.6's Efficiency Push Means for Your AI Unit Economics
Provider efficiency gains only reach your P&L if your own architecture captures them: your prompt-cache hit rate, your agent loop length, and your model tiering decide whether a 20% serving-cost cut becomes 20% of margin or nothing at all.
Pricing math, in your inbox.
One short note a week on AI pricing, token economics, and margin. No spam, unsubscribe anytime.