What can be observed or verified
Provider documentation, published pricing, product behavior, response records, and measured system state.
NEWTON’S RESEARCH · AI INFERENCE ECONOMICS & INFRASTRUCTURE RESEARCH
Research for builders comparing models, APIs, subscriptions, and gateways using the conditions that actually shape a workload.
Each article distinguishes documented facts, reasoned conclusions, and questions that still need testing.
Provider documentation, published pricing, product behavior, response records, and measured system state.
Economic and product conclusions that become stronger or weaker as the observed facts change.
Long-range claims about market structure are labeled as hypotheses until product and market evidence earns more certainty.
Start with the governing economics before evaluating any particular provider or product.
Why model, provider, cache behavior, context, processing tier, latency, and commitment all change the economics of AI inference — and what that means for builders.
Use these guides to compare the options that are available for your next workload.
A practical routing truth map for builders: where Codex and Claude Code keep native sessions vs where Newton’s route can be inserted safely.
Sometimes you should. Compare the next available ways to finish the work: provider credits, a direct API, waiting, or a multi-model gateway.
There is no universal winner. Compare the marginal workload, not three products that meter value in different ways.
A useful infrastructure product should be able to tell you when a subscription or direct provider is the more rational choice.
Use a non-sensitive workload to compare the available options before moving more work.