Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Hosted open weight models are listed at a fraction of frontier API prices, and renting GPUs adds a third option. A comparison from price pages fetched on 18 October 2026.
Rented GPU hourly prices are public. Throughput is not, so the cost per million tokens is an estimate. Here is the formula, a table across assumptions, and a script.
Fifteen checks that keep model spend visible and controllable, each tied to something the vendors publish: usage fields, cache rules, batch discounts, price changes and surcharges.
A bigger window does not cost more by itself, but filling it does. Here is how Anthropic, OpenAI and Google price long prompts, and how a growing context compounds across turns.
Anthropic publishes plan prices and usage multiples, not token limits. Here is what the published tiers say and a scenario you can rerun with your own numbers.
OpenAI publishes plan prices, message estimates and API token prices. Here is how they line up for coding with Codex, and where the published numbers stop.
Google AI plans list prices and relative limits for coding tools. The Gemini API lists per token prices, some of which change on dated schedules. Here is how they compare.
A dated price table from the vendors' own pages, plus a blended cost for one million tokens and a script to recompute it with your own input to output mix.
Free plans from Claude, ChatGPT, Gemini, GitHub Copilot and others, read from the vendors' own pages: what is included for coding, what is capped, and how your data is treated.
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