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Coreply includes built-in integrations for major model providers, a generic OpenAI-compatible provider, and Advanced Mode for custom request bodies.

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What you need

To connect Coreply to a provider, you usually need:
  • An API key or access token
  • A model name or deployment name
  • Any provider-specific fields, such as a base URL, project, location, or resource name
Many built-in providers also expose a Provider Options field. Use it for provider-specific reasoning or thinking controls.

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Choosing a model

For real-time texting, prefer models that either do not reason or can be set to none or minimal reasoning. The provider pages below show the current low-latency choices.

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Supported model families

The following model families work well with Coreply’s prompt format: Many other models should also work. You’re welcome to experiment with models not listed here.

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Provider setup guides

Coreply Cloud

Use Coreply’s hosted service with a single access key.

OpenAI-compatible API

Connect any endpoint that speaks the OpenAI chat-completions format.

Google AI Studio

Use Gemini models through the Gemini API from AI Studio.

Google Vertex

Use Gemini models from your Google Cloud project.

Groq

Fast inference on open-source models, including a free tier.

OpenRouter

Access hundreds of models from a single API key.

OpenAI

Use the latest GPT-5 low-latency tiers directly from OpenAI.

Azure OpenAI

Use Azure-hosted OpenAI deployments.

xAI

Use Grok models directly from xAI.

Mistral

Use Mistral chat-completions models.

Mistral FIM

Use Codestral through Mistral’s fill-in-the-middle endpoint.

MiniMax

Use MiniMax chat models with thinking disabled.

Vercel AI Gateway

Route requests through AI Gateway to upstream providers.

Advanced config

Send a fully custom request body to an endpoint.