AI providers

Compare the main AI providers in the stack, understand what each is best at, and choose the right model platform for your product.

Providers are the model backends and capability platforms that actually power your AI features. Choosing the right one affects latency, cost, multimodal support, reasoning quality, tool support, and how much flexibility you have as your product evolves.

There is rarely one perfect provider for everything. Most strong AI products choose a default provider for the common path, then add others only when they create a clear product advantage.

Overview

This section is meant to help you choose and understand providers, not just configure environment variables. Start with the providers that match your capability needs, then go deeper into setup and app-specific docs when you are ready to implement.

Available providers

These pages cover the providers that make the most sense for the current AI section. Each one explains where the provider fits best rather than treating setup as the only thing that matters.

Provider selection

Provider choice is usually easier when you anchor it in the product problem instead of the model hype cycle. This quick comparison is a good starting point.

If you need...A good starting page
One provider with broad modality coverageOpenAI
Strong writing and assistant-style reasoningAnthropic
Gemini and multimodal Google workflowsGoogle AI
Open-source image models and experimentationReplicate
Speech-first product featuresElevenLabs
Open-weight model flexibilityMeta

Provider pages are most useful when read alongside the capability pages. That is where you can see how provider choice maps to actual product features.

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