News & guides
Input vs Output Token Pricing: Which One Actually Bills You
Output tokens cost several times more per token, yet input usually dominates the bill. Here is how to compute your own blended rate and act on it.
· 7 min read
Is Unlimited AI Actually Unlimited?
No inference provider can sell genuinely uncapped compute. Here is what the word hides, why the limits exist, and exactly what to demand in writing before you buy.
· 9 min read
Measuring AI ROI for Developers Without Fooling Yourself
Token counts are not returns. Here is how to convert engineer hours into money, pick a metric that survives scrutiny, and avoid the usual measurement traps.
· 8 min read
Per-Token vs Flat-Rate AI Pricing: Run the Numbers Yourself
Metered inference makes sense until you start using agents. Here is the arithmetic that decides which billing model is cheaper for how you actually work.
· 7 min read
Prompt Caching Economics: Break-Even, TTL and Hit Rate
Cache writes cost more than normal input, so caching only pays above a read threshold. Here is the arithmetic for TTL choice, hit rate and breakpoint placement.
· 8 min readSelf-Hosting vs a Managed API: Find Your Break-Even
Running open weights on rented GPUs has a break-even volume. Here is how to compute yours from throughput and utilisation, and why most teams never reach it.
· 9 min readSetting an AI Budget for a Small Engineering Team
A bottom-up method for budgeting model spend on a team of five to twenty, including the buffer to hold, the caps to set, and the alerts that matter.
· 8 min readThe Hidden Costs of AI Coding Tools
The model invoice is the smallest line item. Here is the full list of what agentic coding actually costs, and a method for pricing each part yourself.
· 8 min readToken Accounting: Explaining AI Costs to Finance
Finance teams need cost drivers, allocation and controls, not a lecture on transformers. Here is how to translate token usage into terms a budget owner can act on.
· 8 min readWhat AI Actually Costs Per Developer Per Month
There is no single number, but there is a reliable way to derive yours. Work through the token arithmetic behind light, typical and heavy agentic usage.
· 8 min read
What It Costs to Run a Fleet of Agents
Fan-out is the dominant cost term once you run agents in parallel. Here is the arithmetic for coordinator and subagent spend, plus what actually reduces it.
· 8 min read
When a Cheap Model Is Enough
Most production LLM traffic does not need a frontier model. A practical framework for deciding which tasks can drop a tier without anyone noticing.
· 8 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.