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OpenAI vs Claude: Which AI Model Should You Use?

A framework for choosing between leading AI model APIs based on task, cost, latency and application requirements.

Reviewed for 2026 • Technology pricing and capabilities can change.

Do not choose by brand alone

AI model capabilities and pricing change quickly. Evaluate the models available to you against the exact tasks your product performs.

Build a small evaluation set from real application examples and compare quality, latency, cost and failure modes.

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What to measure

Measure input and output token usage, response latency, task success, refusal behavior and cost per successful task. A cheaper model is not cheaper if users need repeated attempts.

Keep your application architecture provider-agnostic where practical so changing models is possible.

Verify current pricing

Provider pricing changes. Check official provider documentation before making financial projections and use StackPilot's calculator as a planning estimate rather than a billing source.

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