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Chat models power conversational and text features: chatbots, assistants, summaries, document Q&A, translation, classification, and extraction. They range from fast, low-cost models for simple tasks to high-reasoning models for complex work. Ask Lovable to:
  • Build a chatbot or in-app assistant.
  • Summarize long text, documents, or transcripts.
  • Answer questions from your own content.
  • Classify, extract, or translate text. For routing and scoring at scale, use a typed decision model.
  • Detect the sentiment of reviews or feedback.
  • Brainstorm ideas and draft copy.
  • Analyze uploaded images and documents.
  • Automate repetitive or multi-step tasks inside your app.
  • Triage an inbox: flag what is urgent and draft replies.
Ask for any of these in the project chat, and Lovable writes the feature and the backend call behind it. See Add an AI feature to your app for the whole flow, including publishing. The chat models are grouped by provider.

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OpenAI chat models

Start with GPT-6 Astra, the default, or GPT-6 Luna when cost matters more than depth.

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Google chat models

Start with Gemini 3.8 Flash for everyday chat, or Gemini 4 Argon for the hardest reasoning.

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Anthropic chat models

The Claude models accept text, image, and PDF input. Lovable adds them to newer apps (created from May 13, 2026, which use TanStack Start). Older React + Vite apps use the other chat models. If you are not sure which stack your project uses, ask Lovable.

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Show the model’s thinking

Many models work through a problem before they answer. Your app can show that thinking above the answer as it streams in, so people see progress during a long answer instead of waiting at a blank screen. The summary says how the model worked through the problem. Your app shows nothing unless you ask Lovable to add it. Ask Lovable to:
  • Show the model’s thinking while it answers.
  • Stream the thinking into a chat interface above the reply.
This works on the model your app already uses, so you don’t need to switch models to get it. Most chat models in the tables above can do it. Thinking counts toward the answer’s output, so an answer that shows its thinking costs more than the same answer without it. Answers also take longer, sometimes minutes for the most capable models. See Usage and pricing.
GPT-5.5 Pro works differently from the other chat models: it can’t be used for plain chat replies. It is the most expensive chat model available, so use it only when a task needs that depth.

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Faster responses with priority processing

When speed matters, you can ask Lovable to use priority processing for a chat feature. Priority processing sends the request to the model provider’s faster serving tier, so responses can come back sooner during busy periods. Ask Lovable to:
  • Make an AI feature respond faster.
  • Use priority processing for a chat feature.
Priority processing is available for supported chat models only. The Priority processing column in the tables above shows which models support it, and asking for it on any other model has no effect. Priority processing comes at a premium price, and you pay it only when the provider serves the request at the priority tier. See Usage and pricing for how AI usage is billed. Priority processing is not available in workspaces that have EU inference enabled. Image, video, embedding, voice, and typed-decision models do not support priority processing.