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GPT vs Claude vs Gemini in a production feature

We do not marry a logo. The feature has evals, a latency budget, and a dollar-per-1k-calls cap. The model that clears those three wins, and we keep a fallback.

Comparaisons

What we measure

Task accuracy on a frozen set. p95 latency. Cost at expected volume. Tool-calling reliability if the feature is an agent. Refusal quality on questions it must not answer.

What we do not do

Hard-code a single vendor SDK through the app. The gateway is one module. Swapping GPT for Claude should not touch your billing page.

Questions

Can we bring our own keys?

Yes. Netlify AI Gateway, OpenAI, Anthropic, or Vertex. Your account, your invoice from the provider.

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